10130046
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)
8055498
axis
0
8778
copy
true
8778
missing_values
"NaN"
8778
strategy
"mean"
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
17
8783
min_samples_split
16
8783
min_weight_fraction_leaf
0.0
8783
presort
false
8783
random_state
7384
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
21180630
description
https://api.openml.org/data/download/21180630/description.xml
-1
21180631
predictions
https://api.openml.org/data/download/21180631/predictions.arff
area_under_roc_curve
0.9433556944444444 [0.991683,0.899375,0.971171,0.940286,0.925418,0.954215,0.8972,0.973492,0.979724,0.900993]
average_cost
0
f_measure
0.7419246191796578 [0.953317,0.632287,0.895833,0.744526,0.663265,0.812339,0.489691,0.842105,0.932331,0.453552]
kappa
0.7155555555555556
kb_relative_information_score
1504.173359445862
mean_absolute_error
0.06058188658463772
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7430664026071937 [0.937198,0.573171,0.934783,0.725118,0.677083,0.835979,0.505319,0.807339,0.934673,0.5]
predictive_accuracy
0.7440000000000001
prior_entropy
3.321928094887362
recall
0.744 [0.97,0.705,0.86,0.765,0.65,0.79,0.475,0.88,0.93,0.415]
relative_absolute_error
0.33656603658131024
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.19039187873909189
root_relative_squared_error
0.6346395957969633
total_cost
0
area_under_roc_curve
0.9475694444444445 [0.999583,0.921528,0.965694,0.905694,0.951667,0.994167,0.87,0.966111,0.998056,0.903194]
area_under_roc_curve
0.9150833333333334 [0.974167,0.911389,0.937917,0.928472,0.814583,0.872639,0.894861,0.987639,0.948333,0.880833]
area_under_roc_curve
0.9406111111111112 [0.973889,0.880556,0.940556,0.898056,0.975278,0.987639,0.900694,0.940139,0.995556,0.91375]
area_under_roc_curve
0.9398472222222223 [0.998333,0.878472,0.971944,0.958472,0.930417,0.905278,0.923194,0.96625,0.973889,0.892222]
area_under_roc_curve
0.9396805555555555 [1,0.876806,0.965556,0.929722,0.963472,0.960694,0.901944,0.958611,0.998611,0.841389]
area_under_roc_curve
0.9509166666666666 [1,0.904028,0.999028,0.954861,0.936667,0.937639,0.887917,0.985694,0.99875,0.904583]
area_under_roc_curve
0.9522083333333334 [0.999722,0.892917,0.97,0.9575,0.954722,0.957083,0.961389,0.962361,0.974306,0.892083]
area_under_roc_curve
0.9448888888888889 [0.973611,0.883056,0.999444,0.938194,0.882639,0.987361,0.9175,0.994167,0.944306,0.928611]
area_under_roc_curve
0.967375 [0.999444,0.907639,0.998194,0.995278,0.929444,0.993056,0.921389,0.992083,1,0.937222]
area_under_roc_curve
0.9397777777777779 [1,0.939167,0.9675,0.936667,0.917778,0.962083,0.803333,0.990833,0.96875,0.911667]
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
0.7434134481771114 [0.97561,0.638298,0.842105,0.756757,0.73913,0.864865,0.511628,0.842105,0.9,0.363636]
f_measure
0.70867917049315 [0.95,0.681818,0.833333,0.761905,0.594595,0.684211,0.285714,0.837209,0.947368,0.510638]
f_measure
0.713321410086116 [0.95,0.576923,0.918919,0.606061,0.755556,0.857143,0.410256,0.764706,0.904762,0.388889]
f_measure
0.7144088130182671 [0.904762,0.585366,0.923077,0.745098,0.55,0.702703,0.619048,0.809524,0.947368,0.357143]
f_measure
0.7311054529618879 [0.97561,0.590909,0.888889,0.744186,0.65,0.789474,0.457143,0.818182,0.97561,0.421053]
f_measure
0.7551903233691527 [0.97561,0.666667,0.947368,0.769231,0.628571,0.837209,0.4375,0.844444,0.904762,0.540541]
f_measure
0.7848221433587287 [0.974359,0.666667,0.923077,0.769231,0.731707,0.772727,0.648649,0.863636,0.974359,0.52381]
f_measure
0.7353120855644962 [0.95,0.604651,0.9,0.636364,0.611111,0.871795,0.536585,0.837209,0.864865,0.540541]
f_measure
0.7816401088595029 [0.95,0.622222,0.894737,0.869565,0.717949,0.857143,0.5,0.883721,0.97561,0.545455]
f_measure
0.7333162827305718 [0.930233,0.695652,0.883721,0.756757,0.606061,0.888889,0.454545,0.904762,0.926829,0.285714]
kappa
0.7166666666666667
kappa
0.6777777777777777
kappa
0.6833333333333333
kappa
0.6944444444444444
kappa
0.7055555555555556
kappa
0.7388888888888889
kappa
0.7611111111111112
kappa
0.7055555555555556
kappa
0.7611111111111112
kappa
0.7111111111111111
kb_relative_information_score
149.3711903019721
kb_relative_information_score
144.7700782478951
kb_relative_information_score
144.2922429732035
kb_relative_information_score
147.63323447751787
kb_relative_information_score
149.21401556529082
kb_relative_information_score
152.88859644272344
kb_relative_information_score
157.23526534429595
kb_relative_information_score
149.71054402075396
kb_relative_information_score
159.1367826303714
kb_relative_information_score
149.92140944185226
mean_absolute_error
0.06057059811333948
mean_absolute_error
0.06625803976512686
mean_absolute_error
0.06607663500127894
mean_absolute_error
0.061371140536854954
mean_absolute_error
0.06168777501406379
mean_absolute_error
0.057862717467342166
mean_absolute_error
0.05372623542545804
mean_absolute_error
0.06201500468700478
mean_absolute_error
0.05406927132378889
mean_absolute_error
0.062181448512115975
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
0.754406565301706 [0.952381,0.555556,0.888889,0.823529,0.653846,0.941176,0.478261,0.888889,0.9,0.461538]
precision
0.7169440246454313 [0.95,0.625,0.9375,0.727273,0.647059,0.722222,0.333333,0.782609,1,0.444444]
precision
0.7336923011199326 [0.95,0.46875,1,0.769231,0.68,0.818182,0.421053,0.928571,0.863636,0.4375]
precision
0.7298678827913322 [0.863636,0.571429,0.947368,0.612903,0.55,0.764706,0.590909,0.772727,1,0.625]
precision
0.7353191856452725 [0.952381,0.541667,1,0.695652,0.65,0.833333,0.533333,0.75,0.952381,0.444444]
precision
0.7624430228092902 [0.952381,0.571429,1,0.789474,0.733333,0.782609,0.583333,0.76,0.863636,0.588235]
precision
0.790701017249005 [1,0.75,0.947368,0.789474,0.714286,0.708333,0.705882,0.791667,1,0.5]
precision
0.7416617550910525 [0.95,0.565217,0.9,0.583333,0.6875,0.894737,0.52381,0.782609,0.941176,0.588235]
precision
0.7931292920148755 [0.95,0.56,0.944444,0.769231,0.736842,1,0.5,0.826087,0.952381,0.692308]
precision
0.7422195238691401 [0.869565,0.615385,0.826087,0.823529,0.769231,1,0.416667,0.863636,0.904762,0.333333]
predictive_accuracy
0.745
predictive_accuracy
0.71
predictive_accuracy
0.715
predictive_accuracy
0.725
predictive_accuracy
0.735
predictive_accuracy
0.765
predictive_accuracy
0.785
predictive_accuracy
0.735
predictive_accuracy
0.785
predictive_accuracy
0.74
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
0.745 [1,0.75,0.8,0.7,0.85,0.8,0.55,0.8,0.9,0.3]
recall
0.71 [0.95,0.75,0.75,0.8,0.55,0.65,0.25,0.9,0.9,0.6]
recall
0.715 [0.95,0.75,0.85,0.5,0.85,0.9,0.4,0.65,0.95,0.35]
recall
0.725 [0.95,0.6,0.9,0.95,0.55,0.65,0.65,0.85,0.9,0.25]
recall
0.735 [1,0.65,0.8,0.8,0.65,0.75,0.4,0.9,1,0.4]
recall
0.765 [1,0.8,0.9,0.75,0.55,0.9,0.35,0.95,0.95,0.5]
recall
0.785 [0.95,0.6,0.9,0.75,0.75,0.85,0.6,0.95,0.95,0.55]
recall
0.735 [0.95,0.65,0.9,0.7,0.55,0.85,0.55,0.9,0.8,0.5]
recall
0.785 [0.95,0.7,0.85,1,0.7,0.75,0.5,0.95,1,0.45]
recall
0.74 [1,0.8,0.95,0.7,0.5,0.8,0.5,0.95,0.95,0.25]
relative_absolute_error
0.3365033228518864
relative_absolute_error
0.3681002209173718
relative_absolute_error
0.36709241667377235
relative_absolute_error
0.34095078076030566
relative_absolute_error
0.3427098611892437
relative_absolute_error
0.32145954148523465
relative_absolute_error
0.29847908569698944
relative_absolute_error
0.34452780381669357
relative_absolute_error
0.30038484068771637
relative_absolute_error
0.3454524917339781
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
0.1947991569047434
root_mean_squared_error
0.20662163441626094
root_mean_squared_error
0.2005046232945117
root_mean_squared_error
0.1942734395792638
root_mean_squared_error
0.1928950338095351
root_mean_squared_error
0.1823841732203664
root_mean_squared_error
0.17703748408479675
root_mean_squared_error
0.19066592147613115
root_mean_squared_error
0.17047197357001698
root_mean_squared_error
0.19151566882111862
root_relative_squared_error
0.6493305230158117
root_relative_squared_error
0.688738781387537
root_relative_squared_error
0.6683487443150394
root_relative_squared_error
0.6475781319308797
root_relative_squared_error
0.642983446031784
root_relative_squared_error
0.6079472440678884
root_relative_squared_error
0.5901249469493228
root_relative_squared_error
0.6355530715871042
root_relative_squared_error
0.5682399119000568
root_relative_squared_error
0.6383855627370625
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
629.6630809993076
usercpu_time_millis
522.963613999309
usercpu_time_millis
441.0243869988335
usercpu_time_millis
428.85678299899155
usercpu_time_millis
431.47035500260245
usercpu_time_millis
424.71872300120594
usercpu_time_millis
441.8471609988046
usercpu_time_millis
451.2322379996476
usercpu_time_millis
430.0890109989268
usercpu_time_millis
429.95210099979886
usercpu_time_millis_testing
1.8149709994759178
usercpu_time_millis_testing
1.414868000210845
usercpu_time_millis_testing
1.4803639987803763
usercpu_time_millis_testing
1.3695699999516364
usercpu_time_millis_testing
1.292464001380722
usercpu_time_millis_testing
1.285543999983929
usercpu_time_millis_testing
1.297860999329714
usercpu_time_millis_testing
1.2964819998160237
usercpu_time_millis_testing
1.5147479989536805
usercpu_time_millis_testing
1.34280000020226
usercpu_time_millis_training
627.8481099998316
usercpu_time_millis_training
521.5487459990982
usercpu_time_millis_training
439.54402300005313
usercpu_time_millis_training
427.4872129990399
usercpu_time_millis_training
430.1778910012217
usercpu_time_millis_training
423.433179001222
usercpu_time_millis_training
440.5492999994749
usercpu_time_millis_training
449.9357559998316
usercpu_time_millis_training
428.57426299997314
usercpu_time_millis_training
428.6093009995966