10092440
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)
8017547
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
"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
13
8783
min_samples_split
19
8783
min_weight_fraction_leaf
0.0
8783
presort
false
8783
random_state
46272
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
21105417
description
https://api.openml.org/data/download/21105417/description.xml
-1
21105418
predictions
https://api.openml.org/data/download/21105418/predictions.arff
area_under_roc_curve
0.9308361111111111 [0.994665,0.91141,0.949819,0.949476,0.878953,0.946669,0.862779,0.962876,0.98296,0.868753]
average_cost
0
f_measure
0.7382165472082501 [0.975369,0.665169,0.880407,0.792553,0.652632,0.79,0.484848,0.791367,0.934726,0.415094]
kappa
0.7083333333333334
kb_relative_information_score
1465.5433114760285
mean_absolute_error
0.062403063056804216
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.743005114554511 [0.961165,0.604082,0.896373,0.846591,0.688889,0.79,0.454148,0.760369,0.978142,0.450292]
predictive_accuracy
0.7375
prior_entropy
3.321928094887362
recall
0.7375 [0.99,0.74,0.865,0.745,0.62,0.79,0.52,0.825,0.895,0.385]
relative_absolute_error
0.3466836836489016
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.196640012084485
root_relative_squared_error
0.6554667069482732
total_cost
0
area_under_roc_curve
0.9424305555555555 [0.999861,0.944167,0.912361,0.98625,0.931944,0.997778,0.809167,0.950694,0.996111,0.895972]
area_under_roc_curve
0.9237916666666668 [0.974444,0.911944,0.883056,0.986111,0.852778,0.93125,0.880417,0.954583,0.947222,0.916111]
area_under_roc_curve
0.9169444444444445 [1,0.9025,0.962639,0.9275,0.912778,0.94,0.796389,0.900139,0.999861,0.827639]
area_under_roc_curve
0.9459444444444446 [1,0.846667,0.992361,0.983472,0.931944,0.963333,0.918333,0.979861,0.973889,0.869583]
area_under_roc_curve
0.9365972222222222 [0.999722,0.903056,0.99625,0.975278,0.897222,0.877083,0.883611,0.983611,0.971806,0.878333]
area_under_roc_curve
0.9537222222222224 [1,0.926806,0.998056,0.913889,0.918333,0.963056,0.891389,0.988472,0.995972,0.94125]
area_under_roc_curve
0.9045277777777777 [1,0.961111,0.861806,0.900278,0.774028,0.927778,0.906389,0.9575,0.996111,0.760278]
area_under_roc_curve
0.919513888888889 [0.974722,0.922222,0.939028,0.910972,0.856528,0.961111,0.84,0.993333,0.956389,0.840833]
area_under_roc_curve
0.9437500000000001 [1,0.891111,0.998472,0.981944,0.864028,0.937639,0.866806,0.9825,1,0.915]
area_under_roc_curve
0.9232083333333333 [0.999444,0.904583,0.959583,0.932222,0.861944,0.969861,0.837639,0.936667,0.979028,0.851111]
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
0.7577092899633109 [0.97561,0.705882,0.829268,0.857143,0.7,0.894737,0.421053,0.722222,0.947368,0.52381]
f_measure
0.7452907545380753 [0.926829,0.744186,0.8,0.8,0.666667,0.809524,0.583333,0.8,0.947368,0.375]
f_measure
0.6885337709303774 [1,0.571429,0.888889,0.722222,0.608696,0.820513,0.363636,0.545455,0.97561,0.388889]
f_measure
0.7268023361039593 [1,0.6,0.883721,0.780488,0.651163,0.742857,0.577778,0.731707,0.947368,0.352941]
f_measure
0.6992668770645852 [0.97561,0.55,0.894737,0.789474,0.588235,0.697674,0.428571,0.77551,0.95,0.342857]
f_measure
0.7752538584822776 [0.97561,0.8,0.952381,0.764706,0.7,0.837209,0.511628,0.863636,0.947368,0.4]
f_measure
0.71909880538504 [0.97561,0.666667,0.833333,0.789474,0.685714,0.666667,0.465116,0.818182,0.947368,0.342857]
f_measure
0.7496302522664878 [0.974359,0.565217,0.894737,0.809524,0.611111,0.756757,0.555556,0.930233,0.857143,0.541667]
f_measure
0.7672816364662176 [1,0.756757,0.952381,0.810811,0.647059,0.790698,0.439024,0.826087,1,0.45]
f_measure
0.7367347877290596 [0.952381,0.705882,0.864865,0.8,0.666667,0.894737,0.489796,0.829268,0.810811,0.352941]
kappa
0.7277777777777777
kappa
0.7222222222222222
kappa
0.65
kappa
0.7
kappa
0.6722222222222222
kappa
0.7555555555555555
kappa
0.6888888888888889
kappa
0.7166666666666667
kappa
0.7444444444444445
kappa
0.7055555555555556
kb_relative_information_score
149.8388690496913
kb_relative_information_score
144.93864329291284
kb_relative_information_score
141.89060699829287
kb_relative_information_score
148.3902242202006
kb_relative_information_score
145.10974009151477
kb_relative_information_score
153.90178002207855
kb_relative_information_score
143.59497287845954
kb_relative_information_score
144.6826500628474
kb_relative_information_score
152.1979071058088
kb_relative_information_score
140.9979177542319
mean_absolute_error
0.058363204362305784
mean_absolute_error
0.06509244741072774
mean_absolute_error
0.06512845172804785
mean_absolute_error
0.06152239002662873
mean_absolute_error
0.06306563745855402
mean_absolute_error
0.0566076043961722
mean_absolute_error
0.06490876974893153
mean_absolute_error
0.06204536343945008
mean_absolute_error
0.05811740795753948
mean_absolute_error
0.06917935403968004
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
0.7743938812083974 [0.952381,0.580645,0.809524,1,0.7,0.944444,0.444444,0.8125,1,0.5]
precision
0.752314135140222 [0.904762,0.695652,0.8,0.8,0.75,0.772727,0.5,0.8,1,0.5]
precision
0.7091347400331067 [1,0.482759,1,0.8125,0.538462,0.842105,0.333333,0.692308,0.952381,0.4375]
precision
0.7326211180124226 [1,0.6,0.826087,0.761905,0.608696,0.866667,0.52,0.714286,1,0.428571]
precision
0.7060881680371935 [0.952381,0.55,0.944444,0.833333,0.714286,0.652174,0.409091,0.655172,0.95,0.4]
precision
0.7809246188594016 [0.952381,0.8,0.909091,0.928571,0.7,0.782609,0.478261,0.791667,1,0.466667]
precision
0.7315789102202146 [0.952381,0.571429,0.9375,0.833333,0.8,0.636364,0.434783,0.75,1,0.4]
precision
0.7687052060613441 [1,0.5,0.944444,0.772727,0.6875,0.823529,0.625,0.869565,1,0.464286]
precision
0.7749158641869639 [1,0.823529,0.909091,0.882353,0.785714,0.73913,0.428571,0.730769,1,0.45]
precision
0.759293160146723 [0.909091,0.580645,0.941176,0.933333,0.75,0.944444,0.413793,0.809524,0.882353,0.428571]
predictive_accuracy
0.755
predictive_accuracy
0.75
predictive_accuracy
0.685
predictive_accuracy
0.73
predictive_accuracy
0.705
predictive_accuracy
0.78
predictive_accuracy
0.72
predictive_accuracy
0.745
predictive_accuracy
0.77
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
0.755 [1,0.9,0.85,0.75,0.7,0.85,0.4,0.65,0.9,0.55]
recall
0.75 [0.95,0.8,0.8,0.8,0.6,0.85,0.7,0.8,0.9,0.3]
recall
0.685 [1,0.7,0.8,0.65,0.7,0.8,0.4,0.45,1,0.35]
recall
0.73 [1,0.6,0.95,0.8,0.7,0.65,0.65,0.75,0.9,0.3]
recall
0.705 [1,0.55,0.85,0.75,0.5,0.75,0.45,0.95,0.95,0.3]
recall
0.78 [1,0.8,1,0.65,0.7,0.9,0.55,0.95,0.9,0.35]
recall
0.72 [1,0.8,0.75,0.75,0.6,0.7,0.5,0.9,0.9,0.3]
recall
0.745 [0.95,0.65,0.85,0.85,0.55,0.7,0.5,1,0.75,0.65]
recall
0.77 [1,0.7,1,0.75,0.55,0.85,0.45,0.95,1,0.45]
recall
0.735 [1,0.9,0.8,0.7,0.6,0.85,0.6,0.85,0.75,0.3]
relative_absolute_error
0.3242400242350325
relative_absolute_error
0.36162470783737677
relative_absolute_error
0.3618247318224885
relative_absolute_error
0.34179105570349333
relative_absolute_error
0.35036465254752275
relative_absolute_error
0.3144866910898459
relative_absolute_error
0.3606042763829534
relative_absolute_error
0.3446964635525008
relative_absolute_error
0.3228744886529975
relative_absolute_error
0.3843297446648895
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
0.18900799153960915
root_mean_squared_error
0.20249865018270513
root_mean_squared_error
0.20690870253005686
root_mean_squared_error
0.1918846400551462
root_mean_squared_error
0.20151964878906467
root_mean_squared_error
0.17869242649044975
root_mean_squared_error
0.20733083915594416
root_mean_squared_error
0.20110754472980583
root_mean_squared_error
0.18130279931959078
root_mean_squared_error
0.20364212353011127
root_relative_squared_error
0.6300266384653642
root_relative_squared_error
0.6749955006090174
root_relative_squared_error
0.6896956751001899
root_relative_squared_error
0.6396154668504876
root_relative_squared_error
0.6717321626302158
root_relative_squared_error
0.5956414216348328
root_relative_squared_error
0.691102797186481
root_relative_squared_error
0.6703584824326865
root_relative_squared_error
0.6043426643986363
root_relative_squared_error
0.6788070784337046
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
151.9455220004602
usercpu_time_millis
142.50715000162018
usercpu_time_millis
140.24454599893943
usercpu_time_millis
143.25774000099045
usercpu_time_millis
117.04119400201307
usercpu_time_millis
120.80664400127716
usercpu_time_millis
111.68127599921718
usercpu_time_millis
109.6082940002816
usercpu_time_millis
112.92850299832935
usercpu_time_millis
112.8885790003551
usercpu_time_millis_testing
1.9750960000237683
usercpu_time_millis_testing
1.9218680008634692
usercpu_time_millis_testing
1.9744589990295935
usercpu_time_millis_testing
1.9405170005484251
usercpu_time_millis_testing
1.5744070005894173
usercpu_time_millis_testing
1.759442000548006
usercpu_time_millis_testing
1.643878998947912
usercpu_time_millis_testing
1.4966270009608706
usercpu_time_millis_testing
1.5203449984255712
usercpu_time_millis_testing
1.521476000561961
usercpu_time_millis_training
149.97042600043642
usercpu_time_millis_training
140.5852820007567
usercpu_time_millis_training
138.27008699990984
usercpu_time_millis_training
141.31722300044203
usercpu_time_millis_training
115.46678700142365
usercpu_time_millis_training
119.04720200072916
usercpu_time_millis_training
110.03739700026927
usercpu_time_millis_training
108.11166699932073
usercpu_time_millis_training
111.40815799990378
usercpu_time_millis_training
111.36710299979313