10121491
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)
8046854
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
"gini"
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
4
8783
min_samples_split
17
8783
min_weight_fraction_leaf
0.0
8783
presort
false
8783
random_state
55124
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
21163520
description
https://api.openml.org/data/download/21163520/description.xml
-1
21163521
predictions
https://api.openml.org/data/download/21163521/predictions.arff
area_under_roc_curve
0.9118248611111112 [0.993978,0.865064,0.948789,0.919299,0.871469,0.940947,0.814907,0.955776,0.979988,0.828032]
average_cost
0
f_measure
0.7569337802318191 [0.975369,0.705,0.872449,0.805,0.659898,0.830846,0.512702,0.802885,0.939948,0.465241]
kappa
0.7294444444444445
kb_relative_information_score
1509.5222023409515
mean_absolute_error
0.05470117660117685
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7591775369905126 [0.961165,0.705,0.890625,0.805,0.670103,0.826733,0.476395,0.773148,0.983607,0.5]
predictive_accuracy
0.7565000000000001
prior_entropy
3.321928094887362
recall
0.7565 [0.99,0.705,0.855,0.805,0.65,0.835,0.555,0.835,0.9,0.435]
relative_absolute_error
0.30389542556208426
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.19933375807032322
root_relative_squared_error
0.6644458602344007
total_cost
0
area_under_roc_curve
0.9255555555555557 [0.996528,0.900833,0.914306,0.943194,0.894306,0.997639,0.849306,0.934583,0.999028,0.825833]
area_under_roc_curve
0.9074722222222222 [0.974722,0.875417,0.917361,0.941944,0.838333,0.907083,0.823472,0.965417,0.973056,0.857917]
area_under_roc_curve
0.8855138888888888 [1,0.878889,0.920417,0.849861,0.892361,0.890833,0.692361,0.917361,0.997222,0.815833]
area_under_roc_curve
0.9237083333333332 [1,0.802917,0.97375,0.968472,0.90875,0.995139,0.841389,0.886944,0.974722,0.885]
area_under_roc_curve
0.9067916666666668 [0.999722,0.788056,0.970833,0.937222,0.916667,0.886667,0.853194,0.946944,0.970972,0.797639]
area_under_roc_curve
0.9326111111111111 [1,0.937778,0.995833,0.908611,0.893889,0.962222,0.858889,0.963333,0.999583,0.805972]
area_under_roc_curve
0.9103611111111111 [0.996944,0.914167,0.895,0.913611,0.868472,0.909861,0.815,0.991944,0.973333,0.825278]
area_under_roc_curve
0.9133194444444445 [0.974583,0.867083,0.940278,0.906667,0.794583,0.994167,0.869722,0.986944,0.967917,0.83125]
area_under_roc_curve
0.9107083333333335 [1,0.811806,0.99625,0.965972,0.866389,0.917083,0.739861,0.982778,1,0.826944]
area_under_roc_curve
0.904375 [0.997222,0.876389,0.968056,0.862361,0.84875,0.948333,0.805417,0.98625,0.940972,0.81]
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
0.7634537485050964 [0.97561,0.755556,0.809524,0.85,0.682927,0.923077,0.52381,0.722222,0.947368,0.444444]
f_measure
0.7334198842548336 [0.926829,0.666667,0.833333,0.829268,0.606061,0.727273,0.488889,0.808511,0.947368,0.5]
f_measure
0.7347590610915944 [1,0.714286,0.918919,0.684211,0.727273,0.810811,0.391304,0.756757,0.97561,0.368421]
f_measure
0.8104419030976956 [1,0.684211,0.95,0.837209,0.73913,0.947368,0.615385,0.756757,0.974359,0.6]
f_measure
0.7329632347004592 [0.97561,0.611111,0.888889,0.857143,0.631579,0.7,0.487805,0.765957,0.95,0.461538]
f_measure
0.7911537227214377 [0.97561,0.8,0.926829,0.789474,0.731707,0.878049,0.625,0.8,0.947368,0.4375]
f_measure
0.7509132703542067 [0.97561,0.697674,0.789474,0.769231,0.606061,0.809524,0.55814,0.869565,0.947368,0.486486]
f_measure
0.7203476511294773 [0.974359,0.680851,0.810811,0.731707,0.578947,0.85,0.488889,0.769231,0.857143,0.461538]
f_measure
0.7762916501546036 [1,0.764706,0.95,0.878049,0.578947,0.790698,0.444444,0.844444,1,0.511628]
f_measure
0.742674279764063 [0.952381,0.666667,0.844444,0.810811,0.666667,0.894737,0.5,0.904762,0.833333,0.352941]
kappa
0.7388888888888889
kappa
0.7055555555555556
kappa
0.7
kappa
0.788888888888889
kappa
0.7055555555555556
kappa
0.7722222222222223
kappa
0.7277777777777777
kappa
0.6833333333333333
kappa
0.7555555555555555
kappa
0.7166666666666667
kb_relative_information_score
153.00572107983658
kb_relative_information_score
149.13373123902306
kb_relative_information_score
146.82558223812308
kb_relative_information_score
157.32695136682906
kb_relative_information_score
145.81821207927172
kb_relative_information_score
157.5966492253718
kb_relative_information_score
149.73461818921575
kb_relative_information_score
147.6763534587761
kb_relative_information_score
154.50110265149505
kb_relative_information_score
147.90328081303332
mean_absolute_error
0.05326122072372073
mean_absolute_error
0.056095220057720045
mean_absolute_error
0.05786100011100007
mean_absolute_error
0.048847256909756914
mean_absolute_error
0.06020585664335662
mean_absolute_error
0.050185225885225865
mean_absolute_error
0.053341404428904414
mean_absolute_error
0.05881490037740037
mean_absolute_error
0.05085400432900431
mean_absolute_error
0.05754567654567654
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
0.7681643312827524 [0.952381,0.68,0.772727,0.85,0.666667,0.947368,0.5,0.8125,1,0.5]
precision
0.7478097380202644 [0.904762,0.684211,0.9375,0.809524,0.769231,0.666667,0.44,0.703704,1,0.5625]
precision
0.7464013111071934 [1,0.681818,1,0.722222,0.666667,0.882353,0.346154,0.823529,0.952381,0.388889]
precision
0.8163785430853677 [1,0.722222,0.95,0.782609,0.653846,1,0.631579,0.823529,1,0.6]
precision
0.7391270790612896 [0.952381,0.6875,1,0.818182,0.666667,0.7,0.47619,0.666667,0.95,0.473684]
precision
0.7980952380952381 [0.952381,0.8,0.904762,0.833333,0.714286,0.857143,0.535714,0.8,1,0.583333]
precision
0.7589701589297768 [0.952381,0.652174,0.833333,0.789474,0.769231,0.772727,0.521739,0.769231,1,0.529412]
precision
0.7353500253902732 [1,0.592593,0.882353,0.714286,0.611111,0.85,0.44,0.789474,1,0.473684]
precision
0.7824216701173223 [1,0.928571,0.95,0.857143,0.611111,0.73913,0.5,0.76,1,0.478261]
precision
0.7540531151854681 [0.909091,0.75,0.76,0.882353,0.636364,0.944444,0.428571,0.863636,0.9375,0.428571]
predictive_accuracy
0.765
predictive_accuracy
0.735
predictive_accuracy
0.73
predictive_accuracy
0.81
predictive_accuracy
0.735
predictive_accuracy
0.795
predictive_accuracy
0.755
predictive_accuracy
0.715
predictive_accuracy
0.78
predictive_accuracy
0.745
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
0.765 [1,0.85,0.85,0.85,0.7,0.9,0.55,0.65,0.9,0.4]
recall
0.735 [0.95,0.65,0.75,0.85,0.5,0.8,0.55,0.95,0.9,0.45]
recall
0.73 [1,0.75,0.85,0.65,0.8,0.75,0.45,0.7,1,0.35]
recall
0.81 [1,0.65,0.95,0.9,0.85,0.9,0.6,0.7,0.95,0.6]
recall
0.735 [1,0.55,0.8,0.9,0.6,0.7,0.5,0.9,0.95,0.45]
recall
0.795 [1,0.8,0.95,0.75,0.75,0.9,0.75,0.8,0.9,0.35]
recall
0.755 [1,0.75,0.75,0.75,0.5,0.85,0.6,1,0.9,0.45]
recall
0.715 [0.95,0.8,0.75,0.75,0.55,0.85,0.55,0.75,0.75,0.45]
recall
0.78 [1,0.65,0.95,0.9,0.55,0.85,0.4,0.95,1,0.55]
recall
0.745 [1,0.6,0.95,0.75,0.7,0.85,0.6,0.95,0.75,0.3]
relative_absolute_error
0.2958956706873377
relative_absolute_error
0.3116401114317784
relative_absolute_error
0.3214500006166674
relative_absolute_error
0.27137364949864984
relative_absolute_error
0.3344769813519816
relative_absolute_error
0.27880681047347733
relative_absolute_error
0.29634113571613596
relative_absolute_error
0.3267494465411136
relative_absolute_error
0.2825222462722465
relative_absolute_error
0.3196982030315367
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
0.19406384637509583
root_mean_squared_error
0.2036797898136921
root_mean_squared_error
0.2110595813605475
root_mean_squared_error
0.18647997966280572
root_mean_squared_error
0.21014075589741615
root_mean_squared_error
0.18352584514085699
root_mean_squared_error
0.2010168186870777
root_mean_squared_error
0.2046513545448988
root_mean_squared_error
0.19247369433811992
root_mean_squared_error
0.2041944506315022
root_relative_squared_error
0.6468794879169865
root_relative_squared_error
0.6789326327123075
root_relative_squared_error
0.703531937868492
root_relative_squared_error
0.6215999322093527
root_relative_squared_error
0.700469186324721
root_relative_squared_error
0.6117528171361903
root_relative_squared_error
0.6700560622902593
root_relative_squared_error
0.6821711818163297
root_relative_squared_error
0.6415789811270669
root_relative_squared_error
0.6806481687716744
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
186.24606999765092
usercpu_time_millis
172.2167679999984
usercpu_time_millis
173.9281679983833
usercpu_time_millis
165.33745400010957
usercpu_time_millis
136.90410999879532
usercpu_time_millis
140.96577199779858
usercpu_time_millis
141.0844839974743
usercpu_time_millis
140.1856919983402
usercpu_time_millis
139.64095700066537
usercpu_time_millis
138.5417569981655
usercpu_time_millis_testing
2.0291589989938075
usercpu_time_millis_testing
2.022554999712156
usercpu_time_millis_testing
2.0292760000302223
usercpu_time_millis_testing
1.6981779990601353
usercpu_time_millis_testing
1.663605999056017
usercpu_time_millis_testing
1.7104969992942642
usercpu_time_millis_testing
1.6873129989107838
usercpu_time_millis_testing
1.8020699990302091
usercpu_time_millis_testing
1.6764030006015673
usercpu_time_millis_testing
1.6702159991837107
usercpu_time_millis_training
184.2169109986571
usercpu_time_millis_training
170.19421300028625
usercpu_time_millis_training
171.89889199835306
usercpu_time_millis_training
163.63927600104944
usercpu_time_millis_training
135.2405039997393
usercpu_time_millis_training
139.25527499850432
usercpu_time_millis_training
139.39717099856352
usercpu_time_millis_training
138.38362199930998
usercpu_time_millis_training
137.9645540000638
usercpu_time_millis_training
136.8715409989818