10100510
1
Jan van Rijn
14
Supervised Classification
8815
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,decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier)(1)
8025683
axis
0
8778
copy
true
8778
missing_values
"NaN"
8778
strategy
"median"
8778
verbose
0
8778
copy
true
8779
with_mean
true
8779
with_std
true
8779
memory
null
8780
copy
true
8781
fill_value
-1
8781
missing_values
NaN
8781
strategy
"constant"
8781
verbose
0
8781
categorical_features
null
8782
categories
null
8782
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
8782
handle_unknown
"ignore"
8782
n_values
null
8782
sparse
true
8782
class_weight
null
8783
criterion
"entropy"
8783
max_depth
null
8783
max_features
1.0
8783
max_leaf_nodes
null
8783
min_impurity_decrease
0.0
8783
min_impurity_split
null
8783
min_samples_leaf
12
8783
min_samples_split
12
8783
min_weight_fraction_leaf
0.0
8783
presort
false
8783
random_state
2120
8783
splitter
"best"
8783
n_jobs
null
8812
remainder
"passthrough"
8812
sparse_threshold
0.3
8812
transformer_weights
null
8812
memory
null
8813
memory
null
8815
threshold
0.0
8816
openml-python
Sklearn_0.20.0.
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
21121557
description
https://api.openml.org/data/download/21121557/description.xml
-1
21121559
predictions
https://api.openml.org/data/download/21121559/predictions.arff
area_under_roc_curve
0.9340704166666667 [0.990886,0.893229,0.966782,0.943867,0.907835,0.951894,0.866378,0.973778,0.97756,0.868496]
average_cost
0
f_measure
0.7537149226913056 [0.952854,0.679426,0.895288,0.781775,0.69,0.835897,0.48139,0.841076,0.935,0.444444]
kappa
0.7272222222222222
kb_relative_information_score
1525.6890893344005
mean_absolute_error
0.05674541132580439
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7543505336657883 [0.945813,0.651376,0.93956,0.751152,0.69,0.857895,0.477833,0.822967,0.935,0.47191]
predictive_accuracy
0.7545000000000001
prior_entropy
3.321928094887362
recall
0.7545 [0.96,0.71,0.855,0.815,0.69,0.815,0.485,0.86,0.935,0.42]
relative_absolute_error
0.3152522851433481
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.1907633996878132
root_relative_squared_error
0.6358779989593676
total_cost
0
area_under_roc_curve
0.9449583333333332 [0.999861,0.96625,0.964861,0.907639,0.93375,0.997083,0.878056,0.994583,0.998056,0.809444]
area_under_roc_curve
0.9073333333333333 [0.971389,0.889167,0.918056,0.930833,0.820972,0.896667,0.844583,0.986389,0.948056,0.867222]
area_under_roc_curve
0.9402083333333333 [0.99875,0.875694,0.945417,0.933472,0.984583,0.99125,0.862639,0.946528,0.999722,0.864028]
area_under_roc_curve
0.9250277777777779 [0.995,0.871389,0.971806,0.987917,0.889444,0.881389,0.832917,0.940972,0.974583,0.904861]
area_under_roc_curve
0.9335972222222222 [1,0.910694,0.966111,0.913056,0.924167,0.969306,0.914861,0.928889,0.996667,0.812222]
area_under_roc_curve
0.944875 [1,0.924028,0.998472,0.9325,0.913472,0.936111,0.895833,0.989444,0.99875,0.860139]
area_under_roc_curve
0.9433750000000001 [0.999722,0.893472,0.9475,0.964028,0.954306,0.980972,0.888056,0.987361,0.974444,0.843889]
area_under_roc_curve
0.926888888888889 [0.973472,0.879306,0.999444,0.933056,0.839167,0.992917,0.868194,0.986389,0.92,0.876944]
area_under_roc_curve
0.9513472222222222 [0.974444,0.844444,0.995972,0.989306,0.959861,0.9425,0.897778,0.986389,1,0.922778]
area_under_roc_curve
0.924486111111111 [0.996389,0.889861,0.96375,0.942083,0.8625,0.938056,0.780972,0.991944,0.969306,0.91]
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
f_measure
0.7553374789921347 [0.97561,0.681818,0.842105,0.820513,0.8,0.923077,0.465116,0.842105,0.9,0.30303]
f_measure
0.6958932791750128 [0.894737,0.666667,0.833333,0.772727,0.571429,0.648649,0.242424,0.871795,0.947368,0.509804]
f_measure
0.7605237152048973 [0.95,0.681818,0.918919,0.8,0.8,0.878049,0.478261,0.8,0.97561,0.322581]
f_measure
0.770311077015253 [0.904762,0.682927,0.923077,0.851064,0.666667,0.777778,0.585366,0.8,0.947368,0.564103]
f_measure
0.7144931961527478 [0.97561,0.604651,0.888889,0.722222,0.651163,0.864865,0.421053,0.727273,0.930233,0.358974]
f_measure
0.7814300120042857 [1,0.782609,0.947368,0.790698,0.628571,0.857143,0.529412,0.818182,0.904762,0.555556]
f_measure
0.7770549651832791 [0.974359,0.666667,0.923077,0.780488,0.75,0.829268,0.608696,0.863636,0.974359,0.4]
f_measure
0.7365028230343033 [0.95,0.651163,0.9,0.6,0.628571,0.883721,0.486486,0.863636,0.864865,0.536585]
f_measure
0.7920492228783236 [0.974359,0.684211,0.894737,0.826087,0.736842,0.810811,0.55,0.888889,0.97561,0.578947]
f_measure
0.7296142719171648 [0.930233,0.682927,0.878049,0.829268,0.628571,0.864865,0.4,0.926829,0.926829,0.228571]
kappa
0.7333333333333334
kappa
0.6611111111111111
kappa
0.7388888888888889
kappa
0.7444444444444445
kappa
0.6833333333333333
kappa
0.7666666666666667
kappa
0.7555555555555555
kappa
0.7111111111111111
kappa
0.7722222222222223
kappa
0.7055555555555556
kb_relative_information_score
154.06558426764485
kb_relative_information_score
143.1012700947818
kb_relative_information_score
154.92288286857433
kb_relative_information_score
153.30086262661627
kb_relative_information_score
151.20417595620617
kb_relative_information_score
154.95044200128893
kb_relative_information_score
156.8214134497329
kb_relative_information_score
149.5966025945583
kb_relative_information_score
160.25937273895826
kb_relative_information_score
147.46648273605948
mean_absolute_error
0.05398257832302453
mean_absolute_error
0.0661966933285078
mean_absolute_error
0.05474111542052715
mean_absolute_error
0.054405392968744366
mean_absolute_error
0.05837316848528145
mean_absolute_error
0.055486198623059195
mean_absolute_error
0.052575641419535246
mean_absolute_error
0.060719744637065226
mean_absolute_error
0.04965767687297671
mean_absolute_error
0.061315903179320175
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
precision
0.7584030407680292 [0.952381,0.625,0.888889,0.842105,0.72,0.947368,0.434783,0.888889,0.9,0.384615]
precision
0.7099762301044384 [0.944444,0.636364,0.9375,0.708333,0.545455,0.705882,0.307692,0.894737,1,0.419355]
precision
0.771547952047952 [0.95,0.625,1,0.8,0.72,0.857143,0.423077,0.933333,0.952381,0.454545]
precision
0.7813485101642996 [0.863636,0.666667,0.947368,0.740741,0.636364,0.875,0.571429,0.933333,1,0.578947]
precision
0.7229067847581443 [0.952381,0.565217,1,0.8125,0.608696,0.941176,0.444444,0.666667,0.869565,0.368421]
precision
0.786444678509896 [1,0.692308,1,0.73913,0.733333,0.818182,0.642857,0.75,0.863636,0.625]
precision
0.7815591864276076 [1,0.75,0.947368,0.761905,0.75,0.809524,0.538462,0.791667,1,0.466667]
precision
0.7404180367799295 [0.95,0.608696,0.9,0.6,0.733333,0.826087,0.529412,0.791667,0.941176,0.52381]
precision
0.7971058679882209 [1,0.722222,0.944444,0.730769,0.777778,0.882353,0.55,0.8,0.952381,0.611111]
precision
0.7313598830836683 [0.869565,0.666667,0.857143,0.809524,0.733333,0.941176,0.36,0.904762,0.904762,0.266667]
predictive_accuracy
0.76
predictive_accuracy
0.695
predictive_accuracy
0.765
predictive_accuracy
0.77
predictive_accuracy
0.715
predictive_accuracy
0.79
predictive_accuracy
0.78
predictive_accuracy
0.74
predictive_accuracy
0.795
predictive_accuracy
0.735
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
recall
0.76 [1,0.75,0.8,0.8,0.9,0.9,0.5,0.8,0.9,0.25]
recall
0.695 [0.85,0.7,0.75,0.85,0.6,0.6,0.2,0.85,0.9,0.65]
recall
0.765 [0.95,0.75,0.85,0.8,0.9,0.9,0.55,0.7,1,0.25]
recall
0.77 [0.95,0.7,0.9,1,0.7,0.7,0.6,0.7,0.9,0.55]
recall
0.715 [1,0.65,0.8,0.65,0.7,0.8,0.4,0.8,1,0.35]
recall
0.79 [1,0.9,0.9,0.85,0.55,0.9,0.45,0.9,0.95,0.5]
recall
0.78 [0.95,0.6,0.9,0.8,0.75,0.85,0.7,0.95,0.95,0.35]
recall
0.74 [0.95,0.7,0.9,0.6,0.55,0.95,0.45,0.95,0.8,0.55]
recall
0.795 [0.95,0.65,0.85,0.95,0.7,0.75,0.55,1,1,0.55]
recall
0.735 [1,0.7,0.9,0.85,0.55,0.8,0.45,0.95,0.95,0.2]
relative_absolute_error
0.29990321290569216
relative_absolute_error
0.36775940738059937
relative_absolute_error
0.3041173078918178
relative_absolute_error
0.30225218315969127
relative_absolute_error
0.3242953804737862
relative_absolute_error
0.3082566590169959
relative_absolute_error
0.29208689677519617
relative_absolute_error
0.3373319146503628
relative_absolute_error
0.2758759826276487
relative_absolute_error
0.3406439065517792
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_squared_error
0.18890377225470323
root_mean_squared_error
0.21286528308361008
root_mean_squared_error
0.18227716531279173
root_mean_squared_error
0.19059383861827647
root_mean_squared_error
0.1949723771996661
root_mean_squared_error
0.18037224756676645
root_mean_squared_error
0.18234499282114985
root_mean_squared_error
0.19531000573533538
root_mean_squared_error
0.17489142468029564
root_mean_squared_error
0.2020604504580829
root_relative_squared_error
0.6296792408490112
root_relative_squared_error
0.709550943612034
root_relative_squared_error
0.6075905510426395
root_relative_squared_error
0.6353127953942553
root_relative_squared_error
0.6499079239988873
root_relative_squared_error
0.6012408252225553
root_relative_squared_error
0.6078166427371665
root_relative_squared_error
0.6510333524511184
root_relative_squared_error
0.5829714156009858
root_relative_squared_error
0.6735348348602769
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
650.6645670000353
usercpu_time_millis
537.5638930000832
usercpu_time_millis
530.4615459999695
usercpu_time_millis
523.3597649998956
usercpu_time_millis
543.4863360000008
usercpu_time_millis
512.6050000001214
usercpu_time_millis
543.8018039999406
usercpu_time_millis
548.2048230001055
usercpu_time_millis
521.7866440000307
usercpu_time_millis
522.702696999886
usercpu_time_millis_testing
1.6759290000436522
usercpu_time_millis_testing
1.696886000104314
usercpu_time_millis_testing
1.6604209999968589
usercpu_time_millis_testing
1.6888679999738088
usercpu_time_millis_testing
1.647932999958357
usercpu_time_millis_testing
1.681399000062811
usercpu_time_millis_testing
1.6885000000002037
usercpu_time_millis_testing
1.826848000064274
usercpu_time_millis_testing
1.6884530000425002
usercpu_time_millis_testing
1.7345579999528127
usercpu_time_millis_training
648.9886379999916
usercpu_time_millis_training
535.8670069999789
usercpu_time_millis_training
528.8011249999727
usercpu_time_millis_training
521.6708969999218
usercpu_time_millis_training
541.8384030000425
usercpu_time_millis_training
510.9236010000586
usercpu_time_millis_training
542.1133039999404
usercpu_time_millis_training
546.3779750000413
usercpu_time_millis_training
520.0981909999882
usercpu_time_millis_training
520.9681389999332