10097991
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)
8023140
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
18
8783
min_samples_split
7
8783
min_weight_fraction_leaf
0.0
8783
presort
false
8783
random_state
9461
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
21116519
description
https://api.openml.org/data/download/21116519/description.xml
-1
21116520
predictions
https://api.openml.org/data/download/21116520/predictions.arff
area_under_roc_curve
0.9403806944444443 [0.996247,0.906039,0.948017,0.933132,0.922044,0.957165,0.889435,0.968403,0.980554,0.902771]
average_cost
0
f_measure
0.7431745800395629 [0.968215,0.637615,0.883249,0.780749,0.651515,0.777778,0.512941,0.79717,0.923885,0.49863]
kappa
0.7138888888888889
kb_relative_information_score
1459.1312670565908
mean_absolute_error
0.06425987375387025
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7479016271467074 [0.947368,0.588983,0.896907,0.83908,0.658163,0.785714,0.484444,0.754464,0.972376,0.551515]
predictive_accuracy
0.7425
prior_entropy
3.321928094887362
recall
0.7425 [0.99,0.695,0.87,0.73,0.645,0.77,0.545,0.845,0.88,0.455]
relative_absolute_error
0.35699929863260155
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.19520091036202195
root_relative_squared_error
0.65066970120673
total_cost
0
area_under_roc_curve
0.9488055555555556 [0.997917,0.936667,0.955556,0.90125,0.94875,0.994861,0.881944,0.978194,0.992083,0.900833]
area_under_roc_curve
0.9335416666666667 [0.971667,0.940556,0.883194,0.9325,0.9025,0.906528,0.941667,0.960278,0.966944,0.929583]
area_under_roc_curve
0.9169027777777778 [1,0.895833,0.959861,0.901528,0.871806,0.935,0.8425,0.853889,0.996667,0.911944]
area_under_roc_curve
0.9449444444444444 [1,0.846389,0.968611,0.982778,0.927222,0.990278,0.919306,0.976944,0.973611,0.864306]
area_under_roc_curve
0.9570138888888892 [0.999444,0.895556,0.967222,0.9675,0.958056,0.930972,0.938194,0.983472,0.99625,0.933472]
area_under_roc_curve
0.9491388888888888 [0.999028,0.89875,0.9975,0.877639,0.952361,0.989028,0.885417,0.987917,0.968194,0.935556]
area_under_roc_curve
0.9394305555555555 [0.99875,0.95875,0.861111,0.945972,0.938472,0.953194,0.903611,0.979583,0.995417,0.859444]
area_under_roc_curve
0.943138888888889 [0.999444,0.925833,0.937639,0.930417,0.903472,0.989583,0.908611,0.991667,0.948056,0.896667]
area_under_roc_curve
0.945138888888889 [1,0.863194,0.995972,0.984583,0.934306,0.92125,0.848333,0.984444,1,0.919306]
area_under_roc_curve
0.9270277777777778 [0.996528,0.900833,0.960417,0.910694,0.893056,0.966667,0.826389,0.987083,0.948889,0.879722]
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
0.7521624189081929 [0.952381,0.693878,0.829268,0.823529,0.666667,0.871795,0.487805,0.736842,0.918919,0.540541]
f_measure
0.7587012072377926 [0.904762,0.731707,0.8,0.820513,0.611111,0.761905,0.666667,0.8,0.918919,0.571429]
f_measure
0.7134799529536372 [1,0.590909,0.918919,0.742857,0.6,0.789474,0.454545,0.685714,0.952381,0.4]
f_measure
0.7436076388740805 [1,0.55814,0.883721,0.780488,0.651163,0.777778,0.578947,0.744186,0.947368,0.514286]
f_measure
0.7090656106371074 [0.97561,0.473684,0.894737,0.810811,0.606061,0.680851,0.511628,0.77551,0.95,0.411765]
f_measure
0.7771983372496851 [0.97561,0.666667,0.952381,0.722222,0.682927,0.923077,0.52381,0.863636,0.947368,0.514286]
f_measure
0.749911209507897 [0.952381,0.653061,0.833333,0.810811,0.6875,0.755556,0.55814,0.8,0.918919,0.529412]
f_measure
0.7644457209116473 [0.974359,0.608696,0.894737,0.829268,0.684211,0.777778,0.52381,0.909091,0.857143,0.585366]
f_measure
0.7424420551565859 [1,0.6875,0.952381,0.810811,0.636364,0.666667,0.368421,0.826087,1,0.47619]
f_measure
0.7138930712843755 [0.952381,0.692308,0.864865,0.648649,0.702703,0.8,0.434783,0.8,0.810811,0.432432]
kappa
0.7222222222222222
kappa
0.7333333333333334
kappa
0.6777777777777777
kappa
0.7166666666666667
kappa
0.6833333333333333
kappa
0.7555555555555555
kappa
0.7222222222222222
kappa
0.7333333333333334
kappa
0.7166666666666667
kappa
0.6777777777777777
kb_relative_information_score
147.05508230364046
kb_relative_information_score
146.15783155552245
kb_relative_information_score
138.82032813377464
kb_relative_information_score
148.12235042599383
kb_relative_information_score
147.18179310272174
kb_relative_information_score
147.73644175005788
kb_relative_information_score
146.9587811218327
kb_relative_information_score
148.62765950326713
kb_relative_information_score
149.17132454927025
kb_relative_information_score
139.2996746105161
mean_absolute_error
0.06340616468824094
mean_absolute_error
0.06404736466073219
mean_absolute_error
0.06827663235093454
mean_absolute_error
0.06276483586045567
mean_absolute_error
0.06277229867490403
mean_absolute_error
0.06348485854110479
mean_absolute_error
0.06319949892499163
mean_absolute_error
0.06185019459913464
mean_absolute_error
0.06088982273932712
mean_absolute_error
0.07190706649887584
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
0.7678125641721243 [0.909091,0.586207,0.809524,1,0.636364,0.894737,0.47619,0.777778,1,0.588235]
precision
0.7672895306447939 [0.863636,0.714286,0.8,0.842105,0.6875,0.727273,0.571429,0.8,1,0.666667]
precision
0.7334090909090909 [1,0.541667,1,0.866667,0.5,0.833333,0.416667,0.8,0.909091,0.466667]
precision
0.7500189786059351 [1,0.521739,0.826087,0.761905,0.608696,0.875,0.611111,0.695652,1,0.6]
precision
0.722443498318355 [0.952381,0.5,0.944444,0.882353,0.769231,0.592593,0.478261,0.655172,0.95,0.5]
precision
0.7816037252221463 [0.952381,0.636364,0.909091,0.8125,0.666667,0.947368,0.5,0.791667,1,0.6]
precision
0.7761930928157007 [0.909091,0.551724,0.9375,0.882353,0.916667,0.68,0.521739,0.72,1,0.642857]
precision
0.779441391941392 [1,0.538462,0.944444,0.809524,0.722222,0.875,0.5,0.833333,1,0.571429]
precision
0.7549857950786744 [1,0.916667,0.909091,0.882353,0.583333,0.684211,0.388889,0.730769,1,0.454545]
precision
0.7354245509392568 [0.909091,0.5625,0.941176,0.705882,0.764706,0.933333,0.384615,0.8,0.882353,0.470588]
predictive_accuracy
0.75
predictive_accuracy
0.76
predictive_accuracy
0.71
predictive_accuracy
0.745
predictive_accuracy
0.715
predictive_accuracy
0.78
predictive_accuracy
0.75
predictive_accuracy
0.76
predictive_accuracy
0.745
predictive_accuracy
0.71
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
0.75 [1,0.85,0.85,0.7,0.7,0.85,0.5,0.7,0.85,0.5]
recall
0.76 [0.95,0.75,0.8,0.8,0.55,0.8,0.8,0.8,0.85,0.5]
recall
0.71 [1,0.65,0.85,0.65,0.75,0.75,0.5,0.6,1,0.35]
recall
0.745 [1,0.6,0.95,0.8,0.7,0.7,0.55,0.8,0.9,0.45]
recall
0.715 [1,0.45,0.85,0.75,0.5,0.8,0.55,0.95,0.95,0.35]
recall
0.78 [1,0.7,1,0.65,0.7,0.9,0.55,0.95,0.9,0.45]
recall
0.75 [1,0.8,0.75,0.75,0.55,0.85,0.6,0.9,0.85,0.45]
recall
0.76 [0.95,0.7,0.85,0.85,0.65,0.7,0.55,1,0.75,0.6]
recall
0.745 [1,0.55,1,0.75,0.7,0.65,0.35,0.95,1,0.5]
recall
0.71 [1,0.9,0.8,0.6,0.65,0.7,0.5,0.8,0.75,0.4]
relative_absolute_error
0.35225647049022785
relative_absolute_error
0.3558186925596237
relative_absolute_error
0.37931462417185896
relative_absolute_error
0.3486935325580874
relative_absolute_error
0.34873499263835606
relative_absolute_error
0.3526936585616937
relative_absolute_error
0.351108327361065
relative_absolute_error
0.34361219221741507
relative_absolute_error
0.3382767929962621
relative_absolute_error
0.3994837027715329
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
0.19093224931088965
root_mean_squared_error
0.19626679217700493
root_mean_squared_error
0.21121570008222834
root_mean_squared_error
0.1905768949490584
root_mean_squared_error
0.19439719602047636
root_mean_squared_error
0.18897259099518127
root_mean_squared_error
0.19384088084059845
root_mean_squared_error
0.1884980630907368
root_mean_squared_error
0.18872576067630714
root_mean_squared_error
0.20712899866672155
root_relative_squared_error
0.6364408310362992
root_relative_squared_error
0.6542226405900168
root_relative_squared_error
0.7040523336074281
root_relative_squared_error
0.6352563164968618
root_relative_squared_error
0.6479906534015882
root_relative_squared_error
0.6299086366506046
root_relative_squared_error
0.6461362694686619
root_relative_squared_error
0.628326876969123
root_relative_squared_error
0.6290858689210242
root_relative_squared_error
0.690429995555739
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
111.54114199871401
usercpu_time_millis
109.38523999902827
usercpu_time_millis
107.54703400016297
usercpu_time_millis
112.76997299864888
usercpu_time_millis
108.86778900021454
usercpu_time_millis
136.16807400103426
usercpu_time_millis
110.36128000068857
usercpu_time_millis
110.098219000065
usercpu_time_millis
108.58379100045568
usercpu_time_millis
119.29442300061055
usercpu_time_millis_testing
1.397841999278171
usercpu_time_millis_testing
1.3988459995744051
usercpu_time_millis_testing
1.3657099998454214
usercpu_time_millis_testing
1.3590889993793098
usercpu_time_millis_testing
1.370507000501675
usercpu_time_millis_testing
1.6158120006366516
usercpu_time_millis_testing
1.4136940008029342
usercpu_time_millis_testing
1.4311790000647306
usercpu_time_millis_testing
1.373467000121309
usercpu_time_millis_testing
1.4004710001245257
usercpu_time_millis_training
110.14329999943584
usercpu_time_millis_training
107.98639399945387
usercpu_time_millis_training
106.18132400031755
usercpu_time_millis_training
111.41088399926957
usercpu_time_millis_training
107.49728199971287
usercpu_time_millis_training
134.5522620003976
usercpu_time_millis_training
108.94758599988563
usercpu_time_millis_training
108.66704000000027
usercpu_time_millis_training
107.21032400033437
usercpu_time_millis_training
117.89395200048602