10097662
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)
8022810
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
20
8783
min_samples_split
12
8783
min_weight_fraction_leaf
0.0
8783
presort
false
8783
random_state
13679
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
21115861
description
https://api.openml.org/data/download/21115861/description.xml
-1
21115862
predictions
https://api.openml.org/data/download/21115862/predictions.arff
area_under_roc_curve
0.9478980555555556 [0.991217,0.908586,0.975799,0.945378,0.931261,0.956321,0.904797,0.976911,0.978772,0.909939]
average_cost
0
f_measure
0.7400360434272403 [0.953317,0.624454,0.900524,0.717172,0.670051,0.791774,0.527363,0.823256,0.924242,0.468208]
kappa
0.7133333333333334
kb_relative_information_score
1499.4223988621245
mean_absolute_error
0.06220463743732439
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7439019243021 [0.937198,0.554264,0.945055,0.72449,0.680412,0.814815,0.524752,0.769565,0.933673,0.554795]
predictive_accuracy
0.742
prior_entropy
3.321928094887362
recall
0.742 [0.97,0.715,0.86,0.71,0.66,0.77,0.53,0.885,0.915,0.405]
relative_absolute_error
0.34558131909623596
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.1894604405850472
root_relative_squared_error
0.6315348019501478
total_cost
0
area_under_roc_curve
0.9546805555555555 [0.999861,0.931389,0.964167,0.923333,0.934167,0.998333,0.8875,0.991111,0.9975,0.919444]
area_under_roc_curve
0.9279027777777779 [0.974167,0.905694,0.936806,0.948472,0.880278,0.921806,0.927083,0.983472,0.947778,0.853472]
area_under_roc_curve
0.9355694444444445 [0.97375,0.883056,0.96875,0.884167,0.96625,0.9525,0.9075,0.940556,0.996667,0.8825]
area_under_roc_curve
0.9442222222222222 [0.995139,0.897639,0.996111,0.957917,0.929722,0.921944,0.918056,0.964861,0.974167,0.886667]
area_under_roc_curve
0.9514722222222223 [0.999722,0.931389,0.967639,0.950278,0.9625,0.935,0.946389,0.96,0.995833,0.865972]
area_under_roc_curve
0.9549166666666666 [0.999722,0.914583,0.999028,0.965139,0.908472,0.962361,0.893472,0.979722,0.99875,0.927917]
area_under_roc_curve
0.9555138888888888 [0.999722,0.885,0.970139,0.947778,0.954722,0.954861,0.960972,0.985417,0.974028,0.9225]
area_under_roc_curve
0.9442222222222222 [0.973194,0.895972,0.999444,0.958611,0.898472,0.98875,0.841528,0.991667,0.941806,0.952778]
area_under_roc_curve
0.9685277777777778 [0.999583,0.935278,0.997917,0.989028,0.929722,0.967639,0.914722,0.991528,1,0.959861]
area_under_roc_curve
0.9457777777777777 [0.997083,0.905833,0.969167,0.935,0.937222,0.960833,0.86,0.99125,0.966528,0.934861]
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
0.764539890180404 [0.97561,0.622222,0.842105,0.75,0.809524,0.864865,0.55814,0.829268,0.923077,0.470588]
f_measure
0.704056260635208 [0.95,0.681818,0.833333,0.727273,0.555556,0.684211,0.428571,0.8,0.947368,0.432432]
f_measure
0.6988267442918605 [0.95,0.592593,0.918919,0.466667,0.755556,0.755556,0.55814,0.727273,0.930233,0.333333]
f_measure
0.7097864849513736 [0.904762,0.585366,0.923077,0.730769,0.564103,0.702703,0.585366,0.809524,0.947368,0.344828]
f_measure
0.7061063622898146 [0.97561,0.585366,0.888889,0.755556,0.615385,0.764706,0.512821,0.72,0.930233,0.3125]
f_measure
0.7471807655051069 [0.97561,0.592593,0.947368,0.628571,0.628571,0.837209,0.516129,0.869565,0.904762,0.571429]
f_measure
0.7870221790953498 [0.974359,0.648649,0.923077,0.75,0.772727,0.780488,0.682927,0.863636,0.974359,0.5]
f_measure
0.7532869181618324 [0.95,0.6,0.947368,0.722222,0.634146,0.871795,0.526316,0.837209,0.864865,0.578947]
f_measure
0.793717774091632 [0.95,0.68,0.894737,0.871795,0.717949,0.857143,0.512821,0.888889,0.97561,0.588235]
f_measure
0.715375672674061 [0.930233,0.666667,0.883721,0.685714,0.588235,0.8,0.4,0.878049,0.833333,0.487805]
kappa
0.7388888888888889
kappa
0.6722222222222222
kappa
0.6777777777777777
kappa
0.6888888888888889
kappa
0.6833333333333333
kappa
0.7277777777777777
kappa
0.7666666666666667
kappa
0.7222222222222222
kappa
0.7722222222222223
kappa
0.6833333333333333
kb_relative_information_score
153.29494380184622
kb_relative_information_score
143.72246544017815
kb_relative_information_score
144.4587133222548
kb_relative_information_score
146.85418757057553
kb_relative_information_score
149.7323589018639
kb_relative_information_score
149.20970363978648
kb_relative_information_score
155.7590357924953
kb_relative_information_score
148.55974576347057
kb_relative_information_score
160.5136928722437
kb_relative_information_score
147.31755175741918
mean_absolute_error
0.05884022947404099
mean_absolute_error
0.06665642544196311
mean_absolute_error
0.06686450405756025
mean_absolute_error
0.06279899270405462
mean_absolute_error
0.06308595373115611
mean_absolute_error
0.06246113559752955
mean_absolute_error
0.057140937152858146
mean_absolute_error
0.06404234162694021
mean_absolute_error
0.05367759641847554
mean_absolute_error
0.06647825816866414
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
0.7715233517025145 [0.952381,0.56,0.888889,0.75,0.772727,0.941176,0.521739,0.809524,0.947368,0.571429]
precision
0.7126068033273916 [0.95,0.625,0.9375,0.666667,0.625,0.722222,0.409091,0.72,1,0.470588]
precision
0.7294969506197129 [0.95,0.470588,1,0.7,0.68,0.68,0.521739,0.923077,0.869565,0.5]
precision
0.721954800660296 [0.863636,0.571429,0.947368,0.59375,0.578947,0.764706,0.571429,0.772727,1,0.555556]
precision
0.7176507573281029 [0.952381,0.571429,1,0.68,0.631579,0.928571,0.526316,0.6,0.869565,0.416667]
precision
0.7699051076800438 [0.952381,0.470588,1,0.733333,0.733333,0.782609,0.727273,0.769231,0.863636,0.666667]
precision
0.7894322202565237 [1,0.705882,0.947368,0.75,0.708333,0.761905,0.666667,0.791667,1,0.5625]
precision
0.7666736294059959 [0.95,0.5,1,0.8125,0.619048,0.894737,0.555556,0.782609,0.941176,0.611111]
precision
0.8085672514619882 [0.95,0.566667,0.944444,0.894737,0.736842,1,0.526316,0.8,0.952381,0.714286]
precision
0.7277134857895727 [0.869565,0.636364,0.826087,0.8,0.714286,0.8,0.36,0.857143,0.9375,0.47619]
predictive_accuracy
0.765
predictive_accuracy
0.705
predictive_accuracy
0.71
predictive_accuracy
0.72
predictive_accuracy
0.715
predictive_accuracy
0.755
predictive_accuracy
0.79
predictive_accuracy
0.75
predictive_accuracy
0.795
predictive_accuracy
0.715
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 [1,0.7,0.8,0.75,0.85,0.8,0.6,0.85,0.9,0.4]
recall
0.705 [0.95,0.75,0.75,0.8,0.5,0.65,0.45,0.9,0.9,0.4]
recall
0.71 [0.95,0.8,0.85,0.35,0.85,0.85,0.6,0.6,1,0.25]
recall
0.72 [0.95,0.6,0.9,0.95,0.55,0.65,0.6,0.85,0.9,0.25]
recall
0.715 [1,0.6,0.8,0.85,0.6,0.65,0.5,0.9,1,0.25]
recall
0.755 [1,0.8,0.9,0.55,0.55,0.9,0.4,1,0.95,0.5]
recall
0.79 [0.95,0.6,0.9,0.75,0.85,0.8,0.7,0.95,0.95,0.45]
recall
0.75 [0.95,0.75,0.9,0.65,0.65,0.85,0.5,0.9,0.8,0.55]
recall
0.795 [0.95,0.85,0.85,0.85,0.7,0.75,0.5,1,1,0.5]
recall
0.715 [1,0.7,0.95,0.6,0.5,0.8,0.45,0.9,0.75,0.5]
relative_absolute_error
0.3268901637446725
relative_absolute_error
0.3703134746775733
relative_absolute_error
0.3714694669864463
relative_absolute_error
0.34888329280030383
relative_absolute_error
0.3504775207286454
relative_absolute_error
0.34700630887516454
relative_absolute_error
0.3174496508492123
relative_absolute_error
0.3557907868163349
relative_absolute_error
0.29820886899153115
relative_absolute_error
0.369323656492579
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
0.18350753779503187
root_mean_squared_error
0.20544407028545483
root_mean_squared_error
0.20042036043310774
root_mean_squared_error
0.19560211105468087
root_mean_squared_error
0.19198012459359548
root_mean_squared_error
0.18637332411609506
root_mean_squared_error
0.17645452966502756
root_mean_squared_error
0.1899020432635327
root_mean_squared_error
0.1677745654945761
root_mean_squared_error
0.19417291318731053
root_relative_squared_error
0.6116917926501065
root_relative_squared_error
0.6848135676181832
root_relative_squared_error
0.6680678681103595
root_relative_squared_error
0.6520070368489367
root_relative_squared_error
0.6399337486453186
root_relative_squared_error
0.6212444137203172
root_relative_squared_error
0.5881817655500923
root_relative_squared_error
0.6330068108784427
root_relative_squared_error
0.5592485516485872
root_relative_squared_error
0.6472430439577022
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
609.398084001441
usercpu_time_millis
465.0322849993245
usercpu_time_millis
467.6604380019853
usercpu_time_millis
459.2355119984859
usercpu_time_millis
460.3544560013688
usercpu_time_millis
446.7977249987598
usercpu_time_millis
471.18222000244714
usercpu_time_millis
484.6443110018299
usercpu_time_millis
450.12547700025607
usercpu_time_millis
460.4948609994608
usercpu_time_millis_testing
1.4654490005341358
usercpu_time_millis_testing
1.3434779993986012
usercpu_time_millis_testing
1.4058400010981131
usercpu_time_millis_testing
1.3948309988336405
usercpu_time_millis_testing
1.3205530012783129
usercpu_time_millis_testing
1.5119199997570831
usercpu_time_millis_testing
1.3673950015800074
usercpu_time_millis_testing
1.3646200004586717
usercpu_time_millis_testing
1.3605180010927143
usercpu_time_millis_testing
1.475909999498981
usercpu_time_millis_training
607.9326350009069
usercpu_time_millis_training
463.6888069999259
usercpu_time_millis_training
466.2545980008872
usercpu_time_millis_training
457.84068099965225
usercpu_time_millis_training
459.0339030000905
usercpu_time_millis_training
445.2858049990027
usercpu_time_millis_training
469.81482500086713
usercpu_time_millis_training
483.27969100137125
usercpu_time_millis_training
448.76495899916335
usercpu_time_millis_training
459.0189509999618