Update models/minstress_meta.json
Browse files- models/minstress_meta.json +9 -62
models/minstress_meta.json
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@@ -1,63 +1,10 @@
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{
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"
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"target": "
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"
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"model_class": "RandomForestRegressor",
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"best_params": {
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"n_estimators": 150,
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"max_depth": 18,
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"max_features": "log2",
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"random_state": 10
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},
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"metrics": {
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"train": {
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"R": 0.9944852053217444,
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"RMSE": 52.56074483034555,
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"MAPE_%": 0.257513770152155,
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"R2": 0.9882467029745382,
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"n": 1801
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},
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"test": {
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"R": 0.9505882980909813,
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"RMSE": 156.1295775490592,
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"MAPE_%": 0.7518924760106475,
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"R2": 0.9031519501560192,
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"n": 386
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}
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},
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"training_ranges": {
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"Q, gpm": [
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191.539260411308,
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271.0
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],
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"SPP (psi)": [
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1808.79776119397,
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3252.60000000001
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],
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"T (kft.lbf)": [
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2.59976000000002,
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3.78005011255918
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],
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"WOB (klbf)": [
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5.75178714285714,
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18.9426100991554
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],
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"ROP (ft/h)": [
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3.2,
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73.1741277731055
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]
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},
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"versions": {
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"python": "3.11.8",
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"numpy": "1.24.0",
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"pandas": "1.5.3",
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"scikit_learn": "1.1.3",
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"joblib": "1.5.1"
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}
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}
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{
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"features": ["... exact feature names in training order ..."],
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"target": "{TARGET_COLUMN}",
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"pred_col": "{PREDICTION_COLUMN}",
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"actual_col": "{ACTUAL_COLUMN_OR_NULL}",
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"transform": "none | log10 | ln",
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"units": "{UNITS_LABEL}",
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"feature_aliases": { "Canonical Name": ["alias1","alias2", "..."] },
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"versions": {"numpy": "X.Y.Z", "scikit_learn": "A.B.C"}
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}
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