Question: What is |table mean - series mean|?

Answer: 19.820

Weekly aggregate patient vital signs from outpatient monitoring.


Question: Is table std greater than series std while table range is also greater?

Answer: no


Question: Is aligned table-series correlation non-negative?

Answer: no


Question: Are counts above mean larger in 'heart_rate_bpm' than in the series?

Answer: no


Question: Is (table mean / series mean) greater than 1?

Answer: no


Question: If 'heart_rate_bpm' increased by 10%, would its mean exceed the current series peak?

Answer: no


Question: If 'heart_rate_bpm' increased by 10%, would its mean exceed the current series peak?

Answer: no


Question: Is the trend in table column 'heart_rate_bpm' consistent with the time-series trend?

Answer: no


Question: Is table std greater than series std while table range is also greater?

Answer: no


Question: Are counts above mean larger in 'heart_rate_bpm' than in the series?

Answer: no


Question: If the series had one extra anomaly, would anomalies exceed table values above mean?

Answer: no


Question: Is the trend in table column 'heart_rate_bpm' consistent with the time-series trend?

Answer: no


Question: If the series had one extra anomaly, would anomalies exceed table values above mean?

Answer: no


Question: Is aligned table-series correlation non-negative?

Answer: no


Question: What is |table mean - series mean|?

Answer: 19.820


Question: Does max('heart_rate_bpm') exceed the series peak?

Answer: no


Question: Is the trend in table column 'heart_rate_bpm' consistent with the time-series trend?

Answer: no


Question: Which has larger range: table column or time series?

Answer: time_series


Question: Does max('heart_rate_bpm') exceed the series peak?

Answer: no


Question: What is |table mean - series mean|?

Answer: 19.820


Question: Is the trend in table column 'heart_rate_bpm' consistent with the time-series trend?

Answer: no


Question: If the series had one extra anomaly, would anomalies exceed table values above mean?

Answer: no


Question: Is (table mean / series mean) greater than 1?

Answer: no


Question: Is the trend in table column 'heart_rate_bpm' consistent with the time-series trend?

Answer: no


Question: Is table std greater than series std while table range is also greater?

Answer: no


Question: What is |table mean - series mean|?

Answer: 19.820


Question: Is (table mean / series mean) greater than 1?

Answer: no


Question: Does max('heart_rate_bpm') exceed the series peak?

Answer: no


Question: Does max('heart_rate_bpm') exceed the series peak?

Answer: no


Question: If the series had one extra anomaly, would anomalies exceed table values above mean?

Answer: no


Question: Is (table mean / series mean) greater than 1?

Answer: no


Question: Is (table mean / series mean) greater than 1?

Answer: no


Question: What is |table mean - series mean|?

Answer: 19.820


Question: Are counts above mean larger in 'heart_rate_bpm' than in the series?

Answer: no


Question: Are counts above mean larger in 'heart_rate_bpm' than in the series?

Answer: no


Question: Does max('heart_rate_bpm') exceed the series peak?

Answer: no


Question: Does max('heart_rate_bpm') exceed the series peak?

Answer: no


Question: Is (table mean / series mean) greater than 1?

Answer: no


Question: If 'heart_rate_bpm' increased by 10%, would its mean exceed the current series peak?

Answer: no


Question: Which has larger range: table column or time series?

Answer: time_series


Question: Is table std greater than series std while table range is also greater?

Answer: no


Question: Does max('heart_rate_bpm') exceed the series peak?

Answer: no


Question: Does max('heart_rate_bpm') exceed the series peak?

Answer: no


Question: Is the trend in table column 'heart_rate_bpm' consistent with the time-series trend?

Answer: no


Question: Is (table mean / series mean) greater than 1?

Answer: no


Question: Which has larger range: table column or time series?

Answer: time_series


Question: If the series had one extra anomaly, would anomalies exceed table values above mean?

Answer: no


Question: What is |table mean - series mean|?

Answer: 19.820


Question: Are counts above mean larger in 'heart_rate_bpm' than in the series?

Answer: no


Question: Which has larger range: table column or time series?

Answer: time_series


Question: Is table std greater than series std while table range is also greater?

Answer: no


Question: Which has larger range: table column or time series?

Answer: time_series


Question: Does max('heart_rate_bpm') exceed the series peak?

Answer: no


Question: What is |table mean - series mean|?

Answer: 19.820


Question: Is table std greater than series std while table range is also greater?

Answer: no


Question: Is table std greater than series std while table range is also greater?

Answer: no


Question: Is table std greater than series std while table range is also greater?

Answer: no


Question: Is aligned table-series correlation non-negative?

Answer: no


Question: Is the trend in table column 'heart_rate_bpm' consistent with the time-series trend?

Answer: no


Question: If the series had one extra anomaly, would anomalies exceed table values above mean?

Answer: no


Question: Is aligned table-series correlation non-negative?

Answer: no


Question: Is aligned table-series correlation non-negative?

Answer: no


Question: Is aligned table-series correlation non-negative?

Answer: no


Question: Does max('heart_rate_bpm') exceed the series peak?

Answer: no


Question: What is |table mean - series mean|?

Answer: 19.820


Question: Are counts above mean larger in 'heart_rate_bpm' than in the series?

Answer: no


Question: Does max('heart_rate_bpm') exceed the series peak?

Answer: no


Question: Does max('heart_rate_bpm') exceed the series peak?

Answer: no


Question: If the series had one extra anomaly, would anomalies exceed table values above mean?

Answer: no


Question: Is aligned table-series correlation non-negative?

Answer: no


Question: Are counts above mean larger in 'heart_rate_bpm' than in the series?

Answer: no


Question: Is (table mean / series mean) greater than 1?

Answer: no


Question: Are counts above mean larger in 'heart_rate_bpm' than in the series?

Answer: no


Question: What is |table mean - series mean|?

Answer: 19.820


Question: Which has larger range: table column or time series?

Answer: time_series


Question: Is table std greater than series std while table range is also greater?

Answer: no


Question: Is table std greater than series std while table range is also greater?

Answer: no


Question: Is (table mean / series mean) greater than 1?

Answer: no


Question: If 'heart_rate_bpm' increased by 10%, would its mean exceed the current series peak?

Answer: no


Question: Is the trend in table column 'heart_rate_bpm' consistent with the time-series trend?

Answer: no


Question: Is the trend in table column 'heart_rate_bpm' consistent with the time-series trend?

Answer: no


Question: Is the trend in table column 'heart_rate_bpm' consistent with the time-series trend?

Answer: no


Question: If the series had one extra anomaly, would anomalies exceed table values above mean?

Answer: no


Question: If 'heart_rate_bpm' increased by 10%, would its mean exceed the current series peak?

Answer: no


Question: Is (table mean / series mean) greater than 1?

Answer: no


Question: Which has larger range: table column or time series?

Answer: time_series


Question: Is (table mean / series mean) greater than 1?

Answer: no


Question: Does max('heart_rate_bpm') exceed the series peak?

Answer: no


Question: Is (table mean / series mean) greater than 1?

Answer: no


Question: Is the trend in table column 'heart_rate_bpm' consistent with the time-series trend?

Answer: no


Question: If 'heart_rate_bpm' increased by 10%, would its mean exceed the current series peak?

Answer: no


Question: Is the trend in table column 'heart_rate_bpm' consistent with the time-series trend?

Answer: no


Question: Are counts above mean larger in 'heart_rate_bpm' than in the series?

Answer: no


Question: Which has larger range: table column or time series?

Answer: time_series


Question: Is table std greater than series std while table range is also greater?

Answer: no


Question: Is (table mean / series mean) greater than 1?

Answer: no


Question: Is table std greater than series std while table range is also greater?

Answer: no


Question: What is |table mean - series mean|?

Answer: 19.820


Question: Is table std greater than series std while table range is also greater?

Answer: no


Question: Which has larger range: table column or time series?

Answer: time_series


Question: What is |table mean - series mean|?

Answer: 19.820


Question: If 'heart_rate_bpm' increased by 10%, would its mean exceed the current series peak?

Answer: no


Question: Is (table mean / series mean) greater than 1?

Answer: no


Question: Is (table mean / series mean) greater than 1?

Answer: no


Question: If 'heart_rate_bpm' increased by 10%, would its mean exceed the current series peak?

Answer: no


Question: Is the trend in table column 'heart_rate_bpm' consistent with the time-series trend?

Answer: no


Question: Is table std greater than series std while table range is also greater?

Answer: no


Question: If the series had one extra anomaly, would anomalies exceed table values above mean?

Answer: no


Question: Is aligned table-series correlation non-negative?

Answer: no


Question: Is (table mean / series mean) greater than 1?

Answer: no


Question: What is |table mean - series mean|?

Answer: 19.820


Question: Is (table mean / series mean) greater than 1?

Answer: no


Question: Is table std greater than series std while table range is also greater?

Answer: no


Question: Is aligned table-series correlation non-negative?

Answer: no


Question: Are counts above mean larger in 'heart_rate_bpm' than in the series?

Answer: no


Question: Is table std greater than series std while table range is also greater?

Answer: no


Question: Are counts above mean larger in 'heart_rate_bpm' than in the series?

Answer: no


Question: If the series had one extra anomaly, would anomalies exceed table values above mean?

Answer: no


Question: Is table std greater than series std while table range is also greater?

Answer: no


Question: Is (table mean / series mean) greater than 1?

Answer: no


Question: If 'heart_rate_bpm' increased by 10%, would its mean exceed the current series peak?

Answer: no


Question: Is aligned table-series correlation non-negative?

Answer: no


Question: What is |table mean - series mean|?

Answer: 19.820


Question: Is (table mean / series mean) greater than 1?

Answer: no


Question: Does max('heart_rate_bpm') exceed the series peak?

Answer: no


Question: If the series had one extra anomaly, would anomalies exceed table values above mean?

Answer: no


Question: What is |table mean - series mean|?

Answer: 19.820


Question: Which has larger range: table column or time series?

Answer: time_series


Question: Is aligned table-series correlation non-negative?

Answer: no


Question: Are counts above mean larger in 'heart_rate_bpm' than in the series?

Answer: no


Question: Does max('heart_rate_bpm') exceed the series peak?

Answer: no


Question: Are counts above mean larger in 'heart_rate_bpm' than in the series?

Answer: no


Question: Is aligned table-series correlation non-negative?

Answer: no


Question: If 'heart_rate_bpm' increased by 10%, would its mean exceed the current series peak?

Answer: no


Question: If the series had one extra anomaly, would anomalies exceed table values above mean?

Answer: no


Question: Does max('heart_rate_bpm') exceed the series peak?

Answer: no


Question: Is aligned table-series correlation non-negative?

Answer: no


Question: Is table std greater than series std while table range is also greater?

Answer: no


Question: Is (table mean / series mean) greater than 1?

Answer: no


Question: Which has larger range: table column or time series?

Answer: time_series


Question: Is aligned table-series correlation non-negative?

Answer: no


Question: Is table std greater than series std while table range is also greater?

Answer: no


Question: Which has larger range: table column or time series?

Answer: time_series


Question: Is aligned table-series correlation non-negative?

Answer: no


Question: Which has larger range: table column or time series?

Answer: time_series


Question: Which has larger range: table column or time series?

Answer: time_series


Question: If 'heart_rate_bpm' increased by 10%, would its mean exceed the current series peak?

Answer: no


Question: Which has larger range: table column or time series?

Answer: time_series


Question: Which has larger range: table column or time series?

Answer: time_series


Question: Is table std greater than series std while table range is also greater?

Answer: no


Question: If 'heart_rate_bpm' increased by 10%, would its mean exceed the current series peak?

Answer: no


Question: If the series had one extra anomaly, would anomalies exceed table values above mean?

Answer: no


Question: What is |table mean - series mean|?

Answer: 19.820


Question: Are counts above mean larger in 'heart_rate_bpm' than in the series?

Answer: no


Question: Is aligned table-series correlation non-negative?

Answer: no


Question: Which has larger range: table column or time series?

Answer: time_series


Question: Is the trend in table column 'heart_rate_bpm' consistent with the time-series trend?

Answer: no


Question: Is aligned table-series correlation non-negative?

Answer: no


Question: Are counts above mean larger in 'heart_rate_bpm' than in the series?

Answer: no


Question: If 'heart_rate_bpm' increased by 10%, would its mean exceed the current series peak?

Answer: no


Question: Is the trend in table column 'heart_rate_bpm' consistent with the time-series trend?

Answer: no


Question: Is the trend in table column 'heart_rate_bpm' consistent with the time-series trend?

Answer: no


Question: Are counts above mean larger in 'heart_rate_bpm' than in the series?

Answer: no


Question: Is aligned table-series correlation non-negative?

Answer: no


Question: Does max('heart_rate_bpm') exceed the series peak?

Answer: no


Question: If 'heart_rate_bpm' increased by 10%, would its mean exceed the current series peak?

Answer: no


Question: Is table std greater than series std while table range is also greater?

Answer: no


Question: Which has larger range: table column or time series?

Answer: time_series


Question: Is table std greater than series std while table range is also greater?

Answer: no


Question: Are counts above mean larger in 'heart_rate_bpm' than in the series?

Answer: no


Question: Is aligned table-series correlation non-negative?

Answer: no


Question: Is table std greater than series std while table range is also greater?

Answer: no


Question: Is (table mean / series mean) greater than 1?

Answer: no


Question: What is |table mean - series mean|?

Answer: 19.820


Question: Is (table mean / series mean) greater than 1?

Answer: no


Question: If the series had one extra anomaly, would anomalies exceed table values above mean?

Answer: no


Question: Is table std greater than series std while table range is also greater?

Answer: no


Question: Is (table mean / series mean) greater than 1?

Answer: no


Question: Are counts above mean larger in 'heart_rate_bpm' than in the series?

Answer: no


Question: What is |table mean - series mean|?

Answer: 19.820


Question: Does max('heart_rate_bpm') exceed the series peak?

Answer: no


Question: What is |table mean - series mean|?

Answer: 19.820


Question: Is the trend in table column 'heart_rate_bpm' consistent with the time-series trend?

Answer: no


Question: Is the trend in table column 'heart_rate_bpm' consistent with the time-series trend?

Answer: no


Question: If 'heart_rate_bpm' increased by 10%, would its mean exceed the current series peak?

Answer: no


Question: Which has larger range: table column or time series?

Answer: time_series


Question: Does max('heart_rate_bpm') exceed the series peak?

Answer: no


Question: What is |table mean - series mean|?

Answer: 19.820


Question: Is aligned table-series correlation non-negative?

Answer: no


Question: Is the trend in table column 'heart_rate_bpm' consistent with the time-series trend?

Answer: no


Question: Are counts above mean larger in 'heart_rate_bpm' than in the series?

Answer: no


Question: Are counts above mean larger in 'heart_rate_bpm' than in the series?

Answer: no


Question: Is (table mean / series mean) greater than 1?

Answer: no


Question: Which has larger range: table column or time series?

Answer: time_series


Question: Is table std greater than series std while table range is also greater?

Answer: no


Question: What is |table mean - series mean|?

Answer: 19.820


Question: Does max('heart_rate_bpm') exceed the series peak?

Answer: no


Question: If the series had one extra anomaly, would anomalies exceed table values above mean?

Answer: no


Question: Is (table mean / series mean) greater than 1?

Answer: no


Question: Is the trend in table column 'heart_rate_bpm' consistent with the time-series trend?

Answer: no


Question: Is (edges + nodes) greater than rounded table mean?

Answer: yes


Question: Is max mapped edge gap greater than table std?

Answer: yes


Question: Does the highest-degree node match the max mapped 'heart_rate_bpm' node?

Answer: no


Question: Is graph density > table_std/100?

Answer: no


Question: Is graph density > table_std/100?

Answer: no


Question: Is number of components greater than table_mean/10?

Answer: no


Question: Does the highest-degree node match the max mapped 'heart_rate_bpm' node?

Answer: no


Question: Is (edges + nodes) greater than rounded table mean?

Answer: yes


Question: What is |mean_degree - table_mean|?

Answer: 70.707


Question: Does the highest-degree node match the max mapped 'heart_rate_bpm' node?

Answer: no


Question: If 'heart_rate_bpm' dropped by 20%, would max mapped edge gap stay above mean degree?

Answer: yes


Question: Is (edges + nodes) greater than rounded table mean?

Answer: yes


Question: Does the highest-degree node match the max mapped 'heart_rate_bpm' node?

Answer: no


Question: What is |mean_degree - table_mean|?

Answer: 70.707


Question: Does the highest-degree node match the max mapped 'heart_rate_bpm' node?

Answer: no


Question: If the graph had one more edge, would density exceed average('heart_rate_bpm')/100?

Answer: no


Question: Is (edges + nodes) greater than rounded table mean?

Answer: yes


Question: Is (edges + nodes) greater than rounded table mean?

Answer: yes


Question: How many nodes have degree greater than median('heart_rate_bpm')?

Answer: 0


Question: Which is larger: graph density*100 or table mean?

Answer: table_mean


Question: Is number of components greater than table_mean/10?

Answer: no


Question: If 'heart_rate_bpm' dropped by 20%, would max mapped edge gap stay above mean degree?

Answer: yes


Question: If 'heart_rate_bpm' dropped by 20%, would max mapped edge gap stay above mean degree?

Answer: yes


Question: Is number of components greater than table_mean/10?

Answer: no


Question: Is (edges + nodes) greater than rounded table mean?

Answer: yes


Question: What is |mean_degree - table_mean|?

Answer: 70.707


Question: Is (edges + nodes) greater than rounded table mean?

Answer: yes


Question: Is number of components greater than table_mean/10?

Answer: no


Question: Which is larger: graph density*100 or table mean?

Answer: table_mean


Question: Is number of components greater than table_mean/10?

Answer: no


Question: Is (edges + nodes) greater than rounded table mean?

Answer: yes


Question: How many nodes have degree greater than median('heart_rate_bpm')?

Answer: 0


Question: Is graph density > table_std/100?

Answer: no


Question: Is graph density > table_std/100?

Answer: no


Question: Is (edges + nodes) greater than rounded table mean?

Answer: yes


Question: Which is larger: graph density*100 or table mean?

Answer: table_mean


Question: Is max mapped edge gap greater than table std?

Answer: yes


Question: Is max mapped edge gap greater than table std?

Answer: yes


Question: Is max mapped edge gap greater than table std?

Answer: yes


Question: If the graph had one more edge, would density exceed average('heart_rate_bpm')/100?

Answer: no


Question: Which is larger: graph density*100 or table mean?

Answer: table_mean


Question: Does the highest-degree node match the max mapped 'heart_rate_bpm' node?

Answer: no


Question: Is (edges + nodes) greater than rounded table mean?

Answer: yes


Question: Is max mapped edge gap greater than table std?

Answer: yes


Question: What is |mean_degree - table_mean|?

Answer: 70.707


Question: Is number of components greater than table_mean/10?

Answer: no


Question: Is max mapped edge gap greater than table std?

Answer: yes


Question: Is (edges + nodes) greater than rounded table mean?

Answer: yes


Question: How many nodes have degree greater than median('heart_rate_bpm')?

Answer: 0


Question: Is max mapped edge gap greater than table std?

Answer: yes


Question: If the graph had one more edge, would density exceed average('heart_rate_bpm')/100?

Answer: no


Question: What is |mean_degree - table_mean|?

Answer: 70.707


Question: How many nodes have degree greater than median('heart_rate_bpm')?

Answer: 0


Question: Is number of components greater than table_mean/10?

Answer: no


Question: Which is larger: graph density*100 or table mean?

Answer: table_mean


Question: Which is larger: graph density*100 or table mean?

Answer: table_mean


Question: Is (edges + nodes) greater than rounded table mean?

Answer: yes


Question: How many nodes have degree greater than median('heart_rate_bpm')?

Answer: 0


Question: If 'heart_rate_bpm' dropped by 20%, would max mapped edge gap stay above mean degree?

Answer: yes


Question: Which is larger: graph density*100 or table mean?

Answer: table_mean


Question: Is graph density > table_std/100?

Answer: no


Question: Is max mapped edge gap greater than table std?

Answer: yes


Question: Which is larger: graph density*100 or table mean?

Answer: table_mean


Question: What is |mean_degree - table_mean|?

Answer: 70.707


Question: How many nodes have degree greater than median('heart_rate_bpm')?

Answer: 0


Question: Which is larger: graph density*100 or table mean?

Answer: table_mean


Question: What is |mean_degree - table_mean|?

Answer: 70.707


Question: What is |mean_degree - table_mean|?

Answer: 70.707


Question: Is graph density > table_std/100?

Answer: no


Question: Is (edges + nodes) greater than rounded table mean?

Answer: yes


Question: Which is larger: graph density*100 or table mean?

Answer: table_mean


Question: Is (edges + nodes) greater than rounded table mean?

Answer: yes


Question: Does the highest-degree node match the max mapped 'heart_rate_bpm' node?

Answer: no


Question: If 'heart_rate_bpm' dropped by 20%, would max mapped edge gap stay above mean degree?

Answer: yes


Question: How many nodes have degree greater than median('heart_rate_bpm')?

Answer: 0


Question: How many nodes have degree greater than median('heart_rate_bpm')?

Answer: 0


Question: Is (edges + nodes) greater than rounded table mean?

Answer: yes


Question: Is graph density > table_std/100?

Answer: no


Question: Does the highest-degree node match the max mapped 'heart_rate_bpm' node?

Answer: no


Question: Is number of components greater than table_mean/10?

Answer: no


Question: Does the highest-degree node match the max mapped 'heart_rate_bpm' node?

Answer: no


Question: Is graph density > table_std/100?

Answer: no


Question: What is |mean_degree - table_mean|?

Answer: 70.707


Question: Is number of components greater than table_mean/10?

Answer: no


Question: How many nodes have degree greater than median('heart_rate_bpm')?

Answer: 0


Question: Is max mapped edge gap greater than table std?

Answer: yes


Question: Which is larger: graph density*100 or table mean?

Answer: table_mean


Question: Does the highest-degree node match the max mapped 'heart_rate_bpm' node?

Answer: no


Question: Is graph density > table_std/100?

Answer: no


Question: Is graph density > table_std/100?

Answer: no


Question: Which is larger: graph density*100 or table mean?

Answer: table_mean


Question: What is |mean_degree - table_mean|?

Answer: 70.707


Question: Is graph density > table_std/100?

Answer: no


Question: Is number of components greater than table_mean/10?

Answer: no


Question: Is graph density > table_std/100?

Answer: no


Question: Is max mapped edge gap greater than table std?

Answer: yes


Question: Is max mapped edge gap greater than table std?

Answer: yes


Question: Is max mapped edge gap greater than table std?

Answer: yes


Question: Does the highest-degree node match the max mapped 'heart_rate_bpm' node?

Answer: no


Question: Is number of components greater than table_mean/10?

Answer: no


Question: Does the highest-degree node match the max mapped 'heart_rate_bpm' node?

Answer: no


Question: Which is larger: graph density*100 or table mean?

Answer: table_mean


Question: If 'heart_rate_bpm' dropped by 20%, would max mapped edge gap stay above mean degree?

Answer: yes


Question: Is number of components greater than table_mean/10?

Answer: no


Question: If 'heart_rate_bpm' dropped by 20%, would max mapped edge gap stay above mean degree?

Answer: yes


Question: Is (edges + nodes) greater than rounded table mean?

Answer: yes


Question: Is number of components greater than table_mean/10?

Answer: no


Question: Is max mapped edge gap greater than table std?

Answer: yes


Question: Does the highest-degree node match the max mapped 'heart_rate_bpm' node?

Answer: no


Question: Which is larger: graph density*100 or table mean?

Answer: table_mean


Question: How many nodes have degree greater than median('heart_rate_bpm')?

Answer: 0


Question: Does the highest-degree node match the max mapped 'heart_rate_bpm' node?

Answer: no


Question: How many nodes have degree greater than median('heart_rate_bpm')?

Answer: 0


Question: Which is larger: graph density*100 or table mean?

Answer: table_mean


Question: Is (edges + nodes) greater than rounded table mean?

Answer: yes


Question: Is graph density > table_std/100?

Answer: no


Question: Which is larger: graph density*100 or table mean?

Answer: table_mean


Question: Is graph density > table_std/100?

Answer: no


Question: How many nodes have degree greater than median('heart_rate_bpm')?

Answer: 0


Question: If the graph had one more edge, would density exceed average('heart_rate_bpm')/100?

Answer: no


Question: Is graph density > table_std/100?

Answer: no


Question: What is |mean_degree - table_mean|?

Answer: 70.707


Question: Is graph density > table_std/100?

Answer: no


Question: Which is larger: graph density*100 or table mean?

Answer: table_mean


Question: Is number of components greater than table_mean/10?

Answer: no


Question: Is number of components greater than table_mean/10?

Answer: no


Question: Is number of components greater than table_mean/10?

Answer: no


Question: Is number of components greater than table_mean/10?

Answer: no


Question: Is max mapped edge gap greater than table std?

Answer: yes


Question: Does the highest-degree node match the max mapped 'heart_rate_bpm' node?

Answer: no


Question: Which is larger: graph density*100 or table mean?

Answer: table_mean


Question: Does the highest-degree node match the max mapped 'heart_rate_bpm' node?

Answer: no


Question: Which is larger: graph density*100 or table mean?

Answer: table_mean


Question: Is max mapped edge gap greater than table std?

Answer: yes


Question: If the graph had one more edge, would density exceed average('heart_rate_bpm')/100?

Answer: no


Question: If the graph had one more edge, would density exceed average('heart_rate_bpm')/100?

Answer: no


Question: Does the highest-degree node match the max mapped 'heart_rate_bpm' node?

Answer: no


Question: How many nodes have degree greater than median('heart_rate_bpm')?

Answer: 0


Question: How many nodes have degree greater than median('heart_rate_bpm')?

Answer: 0


Question: How many nodes have degree greater than median('heart_rate_bpm')?

Answer: 0


Question: Is (edges + nodes) greater than rounded table mean?

Answer: yes


Question: Is max mapped edge gap greater than table std?

Answer: yes


Question: If 'heart_rate_bpm' dropped by 20%, would max mapped edge gap stay above mean degree?

Answer: yes


Question: Which is larger: graph density*100 or table mean?

Answer: table_mean


Question: Is graph density > table_std/100?

Answer: no


Question: Is graph density > table_std/100?

Answer: no


Question: If 'heart_rate_bpm' dropped by 20%, would max mapped edge gap stay above mean degree?

Answer: yes


Question: Which is larger: graph density*100 or table mean?

Answer: table_mean


Question: Is (edges + nodes) greater than rounded table mean?

Answer: yes


Question: If 'heart_rate_bpm' dropped by 20%, would max mapped edge gap stay above mean degree?

Answer: yes


Question: Is number of components greater than table_mean/10?

Answer: no


Question: If 'heart_rate_bpm' dropped by 20%, would max mapped edge gap stay above mean degree?

Answer: yes


Question: Which is larger: graph density*100 or table mean?

Answer: table_mean


Question: What is |mean_degree - table_mean|?

Answer: 70.707


Question: If the graph had one more edge, would density exceed average('heart_rate_bpm')/100?

Answer: no


Question: If the graph had one more edge, would density exceed average('heart_rate_bpm')/100?

Answer: no


Question: If the graph had one more edge, would density exceed average('heart_rate_bpm')/100?

Answer: no


Question: What is |mean_degree - table_mean|?

Answer: 70.707


Question: Is number of components greater than table_mean/10?

Answer: no


Question: Is graph density > table_std/100?

Answer: no


Question: How many nodes have degree greater than median('heart_rate_bpm')?

Answer: 0


Question: Is max mapped edge gap greater than table std?

Answer: yes


Question: What is |mean_degree - table_mean|?

Answer: 70.707


Question: If 'heart_rate_bpm' dropped by 20%, would max mapped edge gap stay above mean degree?

Answer: yes


Question: If the graph had one more edge, would density exceed average('heart_rate_bpm')/100?

Answer: no


Question: If 'heart_rate_bpm' dropped by 20%, would max mapped edge gap stay above mean degree?

Answer: yes


Question: What is |mean_degree - table_mean|?

Answer: 70.707


Question: Is max mapped edge gap greater than table std?

Answer: yes


Question: Is number of components greater than table_mean/10?

Answer: no


Question: Does the highest-degree node match the max mapped 'heart_rate_bpm' node?

Answer: no


Question: Is (edges + nodes) greater than rounded table mean?

Answer: yes


Question: How many nodes have degree greater than median('heart_rate_bpm')?

Answer: 0


Question: Is (edges + nodes) greater than rounded table mean?

Answer: yes


Question: If 'heart_rate_bpm' dropped by 20%, would max mapped edge gap stay above mean degree?

Answer: yes


Question: Is (edges + nodes) greater than rounded table mean?

Answer: yes


Question: Is graph density > table_std/100?

Answer: no


Question: How many nodes have degree greater than median('heart_rate_bpm')?

Answer: 0


Question: If the graph had one more edge, would density exceed average('heart_rate_bpm')/100?

Answer: no


Question: How many nodes have degree greater than median('heart_rate_bpm')?

Answer: 0


Question: What is |mean_degree - table_mean|?

Answer: 70.707


Question: Does the highest-degree node match the max mapped 'heart_rate_bpm' node?

Answer: no


Question: If 'heart_rate_bpm' dropped by 20%, would max mapped edge gap stay above mean degree?

Answer: yes


Question: Is (edges + nodes) greater than rounded table mean?

Answer: yes


Question: If the graph had one more edge, would density exceed average('heart_rate_bpm')/100?

Answer: no


Question: If the graph had one more edge, would density exceed average('heart_rate_bpm')/100?

Answer: no


Question: Is max mapped edge gap greater than table std?

Answer: yes


Question: How many nodes have degree greater than median('heart_rate_bpm')?

Answer: 0


Question: What is |mean_degree - table_mean|?

Answer: 70.707


Question: Which is larger: graph density*100 or table mean?

Answer: table_mean


Question: Is (edges + nodes) greater than rounded table mean?

Answer: yes


Question: Does the highest-degree node match the max mapped 'heart_rate_bpm' node?

Answer: no


Question: What is |mean_degree - table_mean|?

Answer: 70.707


Question: Which is larger: graph density*100 or table mean?

Answer: table_mean


Question: If the graph had one more edge, would density exceed average('heart_rate_bpm')/100?

Answer: no


Question: Is max mapped edge gap greater than table std?

Answer: yes


Question: If the graph had one more edge, would density exceed average('heart_rate_bpm')/100?

Answer: no


Question: Is (edges + nodes) greater than rounded table mean?

Answer: yes


Question: Which is larger: graph density*100 or table mean?

Answer: table_mean


Question: What is |mean_degree - table_mean|?

Answer: 70.707


Question: What is |mean_degree - table_mean|?

Answer: 70.707


Question: Is number of graph components greater than number of series anomalies?

Answer: yes


Question: Is (graph nodes + components) greater than rounded series median?

Answer: no


Question: Is graph diameter larger than anomaly count?

Answer: yes


Question: Is graph diameter larger than anomaly count?

Answer: yes


Question: Is (graph nodes + components) greater than rounded series median?

Answer: no


Question: Is graph diameter larger than anomaly count?

Answer: yes


Question: Which is larger: series peak or graph edge count?

Answer: graph_edges


Question: What is |avg_degree - series_mean/10|?

Answer: 3.869


Question: If one anomaly were added, would anomaly count exceed graph components?

Answer: no


Question: Is number of graph components greater than number of series anomalies?

Answer: yes


Question: Is graph density > 0.1 and series volatility > 1.0?

Answer: no


Question: Is (graph nodes + components) greater than rounded series median?

Answer: no


Question: Does density correlate with lower volatility under rule density*10 > volatility?

Answer: no


Question: Is graph density > 0.1 and series volatility > 1.0?

Answer: no


Question: Does density correlate with lower volatility under rule density*10 > volatility?

Answer: no


Question: Does graph max degree exceed series standard deviation?

Answer: yes


Question: Is (graph nodes + components) greater than rounded series median?

Answer: no


Question: Which is larger: series peak or graph edge count?

Answer: graph_edges


Question: Is (graph nodes + components) greater than rounded series median?

Answer: no


Question: Does graph max degree exceed series standard deviation?

Answer: yes


Question: Does density correlate with lower volatility under rule density*10 > volatility?

Answer: no


Question: Does density correlate with lower volatility under rule density*10 > volatility?

Answer: no


Question: Is number of graph components greater than number of series anomalies?

Answer: yes


Question: What is |avg_degree - series_mean/10|?

Answer: 3.869


Question: If one anomaly were added, would anomaly count exceed graph components?

Answer: no


Question: Is graph diameter larger than anomaly count?

Answer: yes


Question: What is |avg_degree - series_mean/10|?

Answer: 3.869


Question: Does graph max degree exceed series standard deviation?

Answer: yes


Question: Which is larger: series peak or graph edge count?

Answer: graph_edges


Question: Which is larger: series peak or graph edge count?

Answer: graph_edges


Question: Which is larger: series peak or graph edge count?

Answer: graph_edges


Question: If one anomaly were added, would anomaly count exceed graph components?

Answer: no


Question: If graph had one more edge, would density exceed series_mean/100?

Answer: no


Question: What is |avg_degree - series_mean/10|?

Answer: 3.869


Question: Which is larger: series peak or graph edge count?

Answer: graph_edges


Question: Is number of graph components greater than number of series anomalies?

Answer: yes


Question: Which is larger: series peak or graph edge count?

Answer: graph_edges


Question: Is graph density > 0.1 and series volatility > 1.0?

Answer: no


Question: Is graph density > 0.1 and series volatility > 1.0?

Answer: no


Question: Does graph max degree exceed series standard deviation?

Answer: yes


Question: Is graph diameter larger than anomaly count?

Answer: yes


Question: Which is larger: series peak or graph edge count?

Answer: graph_edges


Question: What is |avg_degree - series_mean/10|?

Answer: 3.869


Question: Is graph diameter larger than anomaly count?

Answer: yes


Question: Is number of graph components greater than number of series anomalies?

Answer: yes


Question: Does graph max degree exceed series standard deviation?

Answer: yes


Question: Does graph max degree exceed series standard deviation?

Answer: yes


Question: Does graph max degree exceed series standard deviation?

Answer: yes


Question: Is number of graph components greater than number of series anomalies?

Answer: yes


Question: If graph had one more edge, would density exceed series_mean/100?

Answer: no


Question: Does graph max degree exceed series standard deviation?

Answer: yes


Question: If one anomaly were added, would anomaly count exceed graph components?

Answer: no


Question: Is (graph nodes + components) greater than rounded series median?

Answer: no


Question: Which is larger: series peak or graph edge count?

Answer: graph_edges


Question: Does density correlate with lower volatility under rule density*10 > volatility?

Answer: no


Question: Does density correlate with lower volatility under rule density*10 > volatility?

Answer: no


Question: Does graph max degree exceed series standard deviation?

Answer: yes


Question: Is (graph nodes + components) greater than rounded series median?

Answer: no


Question: Is graph diameter larger than anomaly count?

Answer: yes


Question: Does density correlate with lower volatility under rule density*10 > volatility?

Answer: no


Question: If one anomaly were added, would anomaly count exceed graph components?

Answer: no


Question: Which is larger: series peak or graph edge count?

Answer: graph_edges


Question: Is number of graph components greater than number of series anomalies?

Answer: yes


Question: Is graph density > 0.1 and series volatility > 1.0?

Answer: no


Question: Is (graph nodes + components) greater than rounded series median?

Answer: no


Question: Does density correlate with lower volatility under rule density*10 > volatility?

Answer: no


Question: If one anomaly were added, would anomaly count exceed graph components?

Answer: no


Question: Does graph max degree exceed series standard deviation?

Answer: yes


Question: Is graph diameter larger than anomaly count?

Answer: yes


Question: Does density correlate with lower volatility under rule density*10 > volatility?

Answer: no


Question: If one anomaly were added, would anomaly count exceed graph components?

Answer: no


Question: Which is larger: series peak or graph edge count?

Answer: graph_edges


Question: Is graph diameter larger than anomaly count?

Answer: yes


Question: Is number of graph components greater than number of series anomalies?

Answer: yes


Question: If graph had one more edge, would density exceed series_mean/100?

Answer: no


Question: Does density correlate with lower volatility under rule density*10 > volatility?

Answer: no


Question: What is |avg_degree - series_mean/10|?

Answer: 3.869


Question: Is graph diameter larger than anomaly count?

Answer: yes


Question: Does density correlate with lower volatility under rule density*10 > volatility?

Answer: no


Question: If graph had one more edge, would density exceed series_mean/100?

Answer: no


Question: Is (graph nodes + components) greater than rounded series median?

Answer: no


Question: Is graph density > 0.1 and series volatility > 1.0?

Answer: no


Question: Is (graph nodes + components) greater than rounded series median?

Answer: no


Question: If one anomaly were added, would anomaly count exceed graph components?

Answer: no


Question: Is (graph nodes + components) greater than rounded series median?

Answer: no


Question: Is graph density > 0.1 and series volatility > 1.0?

Answer: no


Question: What is |avg_degree - series_mean/10|?

Answer: 3.869


Question: Does graph max degree exceed series standard deviation?

Answer: yes


Question: If one anomaly were added, would anomaly count exceed graph components?

Answer: no


Question: If graph had one more edge, would density exceed series_mean/100?

Answer: no


Question: Is graph diameter larger than anomaly count?

Answer: yes


Question: If graph had one more edge, would density exceed series_mean/100?

Answer: no


Question: Which is larger: series peak or graph edge count?

Answer: graph_edges


Question: Which is larger: series peak or graph edge count?

Answer: graph_edges


Question: If graph had one more edge, would density exceed series_mean/100?

Answer: no


Question: Is graph density > 0.1 and series volatility > 1.0?

Answer: no


Question: Does density correlate with lower volatility under rule density*10 > volatility?

Answer: no


Question: Does density correlate with lower volatility under rule density*10 > volatility?

Answer: no


Question: Does density correlate with lower volatility under rule density*10 > volatility?

Answer: no


Question: Is graph density > 0.1 and series volatility > 1.0?

Answer: no


Question: If graph had one more edge, would density exceed series_mean/100?

Answer: no


Question: Does graph max degree exceed series standard deviation?

Answer: yes


Question: What is |avg_degree - series_mean/10|?

Answer: 3.869


Question: If graph had one more edge, would density exceed series_mean/100?

Answer: no


Question: Is graph diameter larger than anomaly count?

Answer: yes


Question: Is graph density > 0.1 and series volatility > 1.0?

Answer: no


Question: What is |avg_degree - series_mean/10|?

Answer: 3.869


Question: Is graph density > 0.1 and series volatility > 1.0?

Answer: no


Question: Does density correlate with lower volatility under rule density*10 > volatility?

Answer: no


Question: Is graph diameter larger than anomaly count?

Answer: yes


Question: Which is larger: series peak or graph edge count?

Answer: graph_edges


Question: What is |avg_degree - series_mean/10|?

Answer: 3.869


Question: If graph had one more edge, would density exceed series_mean/100?

Answer: no


Question: Does density correlate with lower volatility under rule density*10 > volatility?

Answer: no


Question: What is |avg_degree - series_mean/10|?

Answer: 3.869


Question: If graph had one more edge, would density exceed series_mean/100?

Answer: no


Question: Is graph diameter larger than anomaly count?

Answer: yes


Question: Does graph max degree exceed series standard deviation?

Answer: yes


Question: Is number of graph components greater than number of series anomalies?

Answer: yes


Question: Does graph max degree exceed series standard deviation?

Answer: yes


Question: Is number of graph components greater than number of series anomalies?

Answer: yes


Question: Is number of graph components greater than number of series anomalies?

Answer: yes


Question: What is |avg_degree - series_mean/10|?

Answer: 3.869


Question: Is number of graph components greater than number of series anomalies?

Answer: yes


Question: What is |avg_degree - series_mean/10|?

Answer: 3.869


Question: What is |avg_degree - series_mean/10|?

Answer: 3.869


Question: Does density correlate with lower volatility under rule density*10 > volatility?

Answer: no


Question: Is graph diameter larger than anomaly count?

Answer: yes


Question: Is number of graph components greater than number of series anomalies?

Answer: yes


Question: Which is larger: series peak or graph edge count?

Answer: graph_edges


Question: Is (graph nodes + components) greater than rounded series median?

Answer: no


Question: Which is larger: series peak or graph edge count?

Answer: graph_edges


Question: Is (graph nodes + components) greater than rounded series median?

Answer: no


Question: Is number of graph components greater than number of series anomalies?

Answer: yes


Question: What is |avg_degree - series_mean/10|?

Answer: 3.869


Question: Is (graph nodes + components) greater than rounded series median?

Answer: no


Question: Is (graph nodes + components) greater than rounded series median?

Answer: no


Question: Is (graph nodes + components) greater than rounded series median?

Answer: no


Question: If graph had one more edge, would density exceed series_mean/100?

Answer: no


Question: Does density correlate with lower volatility under rule density*10 > volatility?

Answer: no


Question: Is graph density > 0.1 and series volatility > 1.0?

Answer: no


Question: If one anomaly were added, would anomaly count exceed graph components?

Answer: no


Question: Is (graph nodes + components) greater than rounded series median?

Answer: no


Question: Is number of graph components greater than number of series anomalies?

Answer: yes


Question: Is (graph nodes + components) greater than rounded series median?

Answer: no


Question: If one anomaly were added, would anomaly count exceed graph components?

Answer: no


Question: What is |avg_degree - series_mean/10|?

Answer: 3.869


Question: Does density correlate with lower volatility under rule density*10 > volatility?

Answer: no


Question: Is graph diameter larger than anomaly count?

Answer: yes


Question: Is graph density > 0.1 and series volatility > 1.0?

Answer: no


Question: If one anomaly were added, would anomaly count exceed graph components?

Answer: no


Question: Is number of graph components greater than number of series anomalies?

Answer: yes


Question: Does graph max degree exceed series standard deviation?

Answer: yes


Question: What is |avg_degree - series_mean/10|?

Answer: 3.869


Question: Is (graph nodes + components) greater than rounded series median?

Answer: no


Question: If graph had one more edge, would density exceed series_mean/100?

Answer: no


Question: Is (graph nodes + components) greater than rounded series median?

Answer: no


Question: Is (graph nodes + components) greater than rounded series median?

Answer: no


Question: If graph had one more edge, would density exceed series_mean/100?

Answer: no


Question: What is |avg_degree - series_mean/10|?

Answer: 3.869


Question: Does density correlate with lower volatility under rule density*10 > volatility?

Answer: no


Question: Is graph density > 0.1 and series volatility > 1.0?

Answer: no


Question: Is graph density > 0.1 and series volatility > 1.0?

Answer: no


Question: Does density correlate with lower volatility under rule density*10 > volatility?

Answer: no


Question: Is number of graph components greater than number of series anomalies?

Answer: yes


Question: Is (graph nodes + components) greater than rounded series median?

Answer: no


Question: Does graph max degree exceed series standard deviation?

Answer: yes


Question: If one anomaly were added, would anomaly count exceed graph components?

Answer: no


Question: What is |avg_degree - series_mean/10|?

Answer: 3.869


Question: Which is larger: series peak or graph edge count?

Answer: graph_edges


Question: Does density correlate with lower volatility under rule density*10 > volatility?

Answer: no


Question: Is graph diameter larger than anomaly count?

Answer: yes


Question: What is |avg_degree - series_mean/10|?

Answer: 3.869


Question: Which is larger: series peak or graph edge count?

Answer: graph_edges


Question: Is number of graph components greater than number of series anomalies?

Answer: yes


Question: Which is larger: series peak or graph edge count?

Answer: graph_edges


Question: Is graph density > 0.1 and series volatility > 1.0?

Answer: no


Question: Is graph density > 0.1 and series volatility > 1.0?

Answer: no


Question: If one anomaly were added, would anomaly count exceed graph components?

Answer: no


Question: If graph had one more edge, would density exceed series_mean/100?

Answer: no


Question: Is (graph nodes + components) greater than rounded series median?

Answer: no


Question: Is number of graph components greater than number of series anomalies?

Answer: yes


Question: Is graph density > 0.1 and series volatility > 1.0?

Answer: no


Question: Does graph max degree exceed series standard deviation?

Answer: yes


Question: Does graph max degree exceed series standard deviation?

Answer: yes


Question: Does graph max degree exceed series standard deviation?

Answer: yes


Question: Is (graph nodes + components) greater than rounded series median?

Answer: no


Question: Is graph diameter larger than anomaly count?

Answer: yes


Question: Is graph diameter larger than anomaly count?

Answer: yes


Question: Is graph density > 0.1 and series volatility > 1.0?

Answer: no


Question: Which is larger: series peak or graph edge count?

Answer: graph_edges


Question: Is graph diameter larger than anomaly count?

Answer: yes


Question: Does graph max degree exceed series standard deviation?

Answer: yes


Question: Does density correlate with lower volatility under rule density*10 > volatility?

Answer: no


Question: Does density correlate with lower volatility under rule density*10 > volatility?

Answer: no


Question: If one anomaly were added, would anomaly count exceed graph components?

Answer: no


Question: Is graph density > 0.1 and series volatility > 1.0?

Answer: no


Question: Does density correlate with lower volatility under rule density*10 > volatility?

Answer: no


Question: Is number of graph components greater than number of series anomalies?

Answer: yes


Question: Is (graph nodes + components) greater than rounded series median?

Answer: no