10227126
1
Jan van Rijn
9968
Supervised Classification
9666
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(4)
8152558
copy
true
9559
fill_value
-1
9559
missing_values
NaN
9559
strategy
"constant"
9559
verbose
0
9559
n_jobs
null
9606
remainder
"passthrough"
9606
sparse_threshold
0.3
9606
transformer_weights
null
9606
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "numeric", "step_name": "numeric", "argument_1": [0, 1]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": [2]}}]
9606
memory
null
9607
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}]
9607
axis
0
9608
copy
true
9608
missing_values
"NaN"
9608
strategy
"most_frequent"
9608
verbose
0
9608
copy
true
9609
with_mean
true
9609
with_std
true
9609
memory
null
9610
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}]
9610
categorical_features
null
9611
categories
null
9611
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
9611
handle_unknown
"ignore"
9611
n_values
null
9611
sparse
true
9611
threshold
0.0
9612
memory
null
9666
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "variancethreshold", "step_name": "variancethreshold"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gradientboostingclassifier", "step_name": "gradientboostingclassifier"}}]
9666
criterion
"friedman_mse"
9667
init
null
9667
learning_rate
6.120136407325203e-05
9667
loss
"deviance"
9667
max_depth
17
9667
max_features
0.2164951926946036
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.26759466224029316
9667
min_impurity_split
null
9667
min_samples_leaf
20
9667
min_samples_split
12
9667
min_weight_fraction_leaf
0.07800447348648654
9667
n_estimators
1406
9667
n_iter_no_change
152
9667
presort
"auto"
9667
random_state
56629
9667
subsample
0.21920238747107568
9667
tol
1.039830594024931e-05
9667
validation_fraction
0.23366992142123633
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
1505
tamilnadu-electricity
https://www.openml.org/data/download/1592297/phpvFYBg2
-1
21375168
description
https://api.openml.org/data/download/21375168/description.xml
-1
21375169
predictions
https://api.openml.org/data/download/21375169/predictions.arff
area_under_roc_curve
0.499360154433536 [0.494938,0.50745,0.503077,0.501364,0.505394,0.491326,0.498143,0.501074,0.501831,0.493957,0.49885,0.509032,0.495666,0.50209,0.498036,0.491852,0.507777,0.500968,0.494788,0.49216]
average_cost
0
kappa
0.00010139247070819773
kb_relative_information_score
1776.541163282386
mean_absolute_error
0.09502903840033552
mean_prior_absolute_error
0.0945029158003211
number_of_instances
45781 [1410,2867,2884,2905,2830,2887,2876,2857,2906,2874,2870,1403,2896,1397,1403,1418,1405,1400,1405,2888]
predictive_accuracy
0.045433695201065945
prior_entropy
4.245500751548492
recall
0.045433695201065945 [0,0,0,0,0.226148,0,0,0,0,0,0,0,0,0.073729,0,0,0.469039,0.002143,0,0.233726]
relative_absolute_error
1.005567263142717
root_mean_prior_squared_error
0.21737375501392403
root_mean_squared_error
0.21802082631329367
root_relative_squared_error
1.0029767682824826
total_cost
0
area_under_roc_curve
0.4974918462488604 [0.451444,0.51229,0.504572,0.478785,0.524388,0.494487,0.509744,0.49926,0.463942,0.500456,0.500032,0.483806,0.523219,0.511957,0.523866,0.465283,0.497378,0.494208,0.490776,0.489754]
area_under_roc_curve
0.4959893977210061 [0.490173,0.515333,0.488962,0.491033,0.498914,0.465812,0.500771,0.521737,0.513423,0.472103,0.482064,0.527359,0.474614,0.498708,0.476609,0.504832,0.518576,0.506751,0.508744,0.496325]
area_under_roc_curve
0.49937314753946316 [0.495742,0.487324,0.508897,0.51943,0.505369,0.499347,0.477871,0.515874,0.521495,0.480183,0.497665,0.525576,0.495552,0.511215,0.494356,0.462269,0.498649,0.52356,0.473027,0.4886]
area_under_roc_curve
0.5025828142153885 [0.517881,0.526605,0.499481,0.510979,0.524163,0.496213,0.519544,0.474521,0.501995,0.494778,0.519163,0.515427,0.475494,0.496398,0.503046,0.484646,0.507907,0.489877,0.483416,0.499323]
area_under_roc_curve
0.4987722833064584 [0.468311,0.50764,0.515213,0.487169,0.510114,0.485923,0.47838,0.489184,0.498657,0.489122,0.4856,0.512135,0.501483,0.520105,0.524067,0.474277,0.518254,0.51101,0.519718,0.508956]
area_under_roc_curve
0.5002839340599955 [0.530887,0.531052,0.518298,0.520471,0.501858,0.505544,0.492835,0.509709,0.49317,0.485967,0.506848,0.426261,0.488788,0.528943,0.460174,0.505218,0.5339,0.510931,0.505974,0.449222]
area_under_roc_curve
0.49685555153489536 [0.504241,0.503438,0.499257,0.497877,0.515479,0.446949,0.491353,0.502644,0.516082,0.528706,0.496595,0.480135,0.516364,0.505655,0.454515,0.475305,0.471712,0.494164,0.497141,0.492802]
area_under_roc_curve
0.5022858791390908 [0.490699,0.499784,0.514833,0.518154,0.468984,0.484354,0.524902,0.504312,0.479109,0.491502,0.502116,0.531864,0.513549,0.478502,0.519626,0.487342,0.493562,0.496626,0.497053,0.536448]
area_under_roc_curve
0.5048340643628089 [0.467259,0.50572,0.490022,0.502544,0.52168,0.524946,0.50897,0.481987,0.509923,0.528187,0.533978,0.524969,0.507866,0.467497,0.513679,0.502868,0.481322,0.515224,0.495434,0.476788]
area_under_roc_curve
0.49563459092107764 [0.503674,0.487288,0.494677,0.495998,0.486831,0.508619,0.49314,0.501972,0.503744,0.475131,0.481895,0.536296,0.477901,0.495901,0.498708,0.545936,0.52634,0.504085,0.480681,0.478204]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
kappa
0.00217165869685216
kappa
0.001583935476905047
kappa
-0.0059848738845747415
kappa
0.0018308426288846905
kappa
0.0014871033843406975
kappa
-0.0027622717073438247
kappa
0.0023768020601882063
kappa
0.001856239695139927
kappa
-0.000738855175523542
kappa
-0.0007989955484533705
kb_relative_information_score
177.68087537983723
kb_relative_information_score
177.45371948771557
kb_relative_information_score
177.63051065200688
kb_relative_information_score
177.99764388872427
kb_relative_information_score
178.00325750804583
kb_relative_information_score
177.63255142932468
kb_relative_information_score
177.43326062001017
kb_relative_information_score
177.45010929233732
kb_relative_information_score
177.62606425617145
kb_relative_information_score
177.63317076823373
mean_absolute_error
0.09502913076591075
mean_absolute_error
0.09502901415561392
mean_absolute_error
0.09502899006143231
mean_absolute_error
0.09502890548378307
mean_absolute_error
0.0950288820709492
mean_absolute_error
0.09502900177557543
mean_absolute_error
0.09502914428077856
mean_absolute_error
0.09502910062610244
mean_absolute_error
0.0950291432605828
mean_absolute_error
0.09502907150245986
mean_prior_absolute_error
0.09450269300503948
mean_prior_absolute_error
0.09450216275055595
mean_prior_absolute_error
0.09450286907511965
mean_prior_absolute_error
0.09450426789344867
mean_prior_absolute_error
0.09450426789344867
mean_prior_absolute_error
0.09450285047508049
mean_prior_absolute_error
0.09450215845823924
mean_prior_absolute_error
0.09450215845823924
mean_prior_absolute_error
0.09450286430587884
mean_prior_absolute_error
0.09450286573665108
number_of_instances
4579 [141,287,289,290,283,288,287,286,291,288,287,140,290,140,140,142,141,140,140,289]
number_of_instances
4578 [141,287,289,290,283,288,287,286,291,288,287,140,290,140,140,142,140,140,140,289]
number_of_instances
4578 [141,286,289,290,283,289,288,286,290,287,287,141,290,140,140,142,140,140,140,289]
number_of_instances
4578 [141,286,288,290,283,289,288,285,290,287,287,141,290,140,141,142,140,140,141,289]
number_of_instances
4578 [141,286,288,290,283,289,288,285,290,287,287,141,290,140,141,142,140,140,141,289]
number_of_instances
4578 [141,287,288,291,283,289,288,285,290,287,287,140,290,139,141,142,140,140,141,289]
number_of_instances
4578 [141,287,288,291,283,289,288,286,291,287,287,140,289,139,140,141,141,140,141,289]
number_of_instances
4578 [141,287,288,291,283,289,288,286,291,287,287,140,289,139,140,141,141,140,141,289]
number_of_instances
4578 [141,287,288,291,283,289,287,286,291,288,287,140,289,140,140,142,141,140,140,288]
number_of_instances
4578 [141,287,289,291,283,288,287,286,291,288,287,140,289,140,140,142,141,140,140,288]
predictive_accuracy
0.045861541821358376
predictive_accuracy
0.04565312363477501
predictive_accuracy
0.04193971166448231
predictive_accuracy
0.048055919615552646
predictive_accuracy
0.04652686762778506
predictive_accuracy
0.041284403669724766
predictive_accuracy
0.047182175622542594
predictive_accuracy
0.0491480996068152
predictive_accuracy
0.04630843162953255
predictive_accuracy
0.04237658366098733
prior_entropy
4.245500751548492
prior_entropy
4.245500751548492
prior_entropy
4.245500751548492
prior_entropy
4.245500751548492
prior_entropy
4.245500751548492
prior_entropy
4.245500751548492
prior_entropy
4.245500751548492
prior_entropy
4.245500751548492
prior_entropy
4.245500751548492
prior_entropy
4.245500751548492
recall
0.045861541821358376 [0,0,0,0,0.212014,0,0,0,0,0,0,0,0,0,0,0,0.503546,0.021429,0,0.262976]
recall
0.045653123634775014 [0,0,0,0,0.183746,0,0,0,0,0,0,0,0,0.1,0,0,0.542857,0,0,0.231834]
recall
0.04193971166448231 [0,0,0,0,0.24735,0,0,0,0,0,0,0,0,0,0,0,0.435714,0,0,0.211073]
recall
0.048055919615552646 [0,0,0,0,0.300353,0,0,0,0,0,0,0,0,0.071429,0,0,0.45,0,0,0.214533]
recall
0.04652686762778506 [0,0,0,0,0.141343,0,0,0,0,0,0,0,0,0.042857,0,0,0.507143,0,0,0.33218]
recall
0.04128440366972477 [0,0,0,0,0.116608,0,0,0,0,0,0,0,0,0.129496,0,0,0.492857,0,0,0.238754]
recall
0.047182175622542594 [0,0,0,0,0.187279,0,0,0,0,0,0,0,0,0.179856,0,0,0.375887,0,0,0.294118]
recall
0.0491480996068152 [0,0,0,0,0.275618,0,0,0,0,0,0,0,0,0.151079,0,0,0.361702,0,0,0.259516]
recall
0.04630843162953255 [0,0,0,0,0.342756,0,0,0,0,0,0,0,0,0,0,0,0.468085,0,0,0.170139]
recall
0.04237658366098733 [0,0,0,0,0.254417,0,0,0,0,0,0,0,0,0.064286,0,0,0.553191,0,0,0.121528]
relative_absolute_error
1.0055706112083305
relative_absolute_error
1.0055750195521833
relative_absolute_error
1.005567248819657
relative_absolute_error
1.0055514698121986
relative_absolute_error
1.0055512220685316
relative_absolute_error
1.005567570690724
relative_absolute_error
1.0055764421801243
relative_absolute_error
1.0055759802364308
relative_absolute_error
1.00556892067314
relative_absolute_error
1.005568146126649
root_mean_prior_squared_error
0.21737324254283874
root_mean_prior_squared_error
0.21737202285276797
root_mean_prior_squared_error
0.21737364753729455
root_mean_prior_squared_error
0.21737686505697193
root_mean_prior_squared_error
0.21737686505697193
root_mean_prior_squared_error
0.21737360475372536
root_mean_prior_squared_error
0.21737201297956357
root_mean_prior_squared_error
0.21737201297956357
root_mean_prior_squared_error
0.21737363656714942
root_mean_prior_squared_error
0.21737363985819302
root_mean_squared_error
0.21802109848314352
root_mean_squared_error
0.21802075718552902
root_mean_squared_error
0.21802070588577926
root_mean_squared_error
0.21802051922783455
root_mean_squared_error
0.21802046523730534
root_mean_squared_error
0.21802073674927216
root_mean_squared_error
0.21802106100327745
root_mean_squared_error
0.21802095986116007
root_mean_squared_error
0.21802106243775432
root_mean_squared_error
0.218020897001371
root_relative_squared_error
1.0029803849486079
root_relative_squared_error
1.0029844426354741
root_relative_squared_error
1.0029767101753846
root_relative_squared_error
1.0029610058581622
root_relative_squared_error
1.0029607574852308
root_relative_squared_error
1.0029770495653323
root_relative_squared_error
1.0029858858774745
root_relative_squared_error
1.0029854205824442
root_relative_squared_error
1.0029784010647718
root_relative_squared_error
1.0029776248104425
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
usercpu_time_millis
358686.43244099803
usercpu_time_millis
359653.1619680027
usercpu_time_millis
362099.79168599966
usercpu_time_millis
365756.2707430043
usercpu_time_millis
361083.0979770035
usercpu_time_millis
361754.21089000156
usercpu_time_millis
362038.7064270035
usercpu_time_millis
339739.9173790036
usercpu_time_millis
326192.02213000244
usercpu_time_millis
328598.05631999916
usercpu_time_millis_testing
819.0169279987458
usercpu_time_millis_testing
816.4746680049575
usercpu_time_millis_testing
834.417949001363
usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
805.2222859987523
usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
364965.2346560033
usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
361203.5814280025
usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
327792.8340340004