10078999
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)
8003963
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
1
8783
min_samples_split
12
8783
min_weight_fraction_leaf
0.0
8783
presort
false
8783
random_state
2822
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
21078534
description
https://api.openml.org/data/download/21078534/description.xml
-1
21078535
predictions
https://api.openml.org/data/download/21078535/predictions.arff
area_under_roc_curve
0.8916229166666666 [0.993875,0.848686,0.940832,0.901813,0.861337,0.919318,0.766833,0.938086,0.977119,0.768329]
average_cost
0
f_measure
0.7540552039453409 [0.985075,0.678049,0.873096,0.789873,0.674817,0.823529,0.504808,0.79602,0.930591,0.484694]
kappa
0.725
kb_relative_information_score
1505.6921965545378
mean_absolute_error
0.05159329365079396
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7562573681734086 [0.980198,0.661905,0.886598,0.8,0.660287,0.842932,0.486111,0.792079,0.957672,0.494792]
predictive_accuracy
0.7525
prior_entropy
3.321928094887362
recall
0.7525 [0.99,0.695,0.86,0.78,0.69,0.805,0.525,0.8,0.905,0.475]
relative_absolute_error
0.2866294091710687
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.20751001267918248
root_relative_squared_error
0.691700042263931
total_cost
0
area_under_roc_curve
0.902138888888889 [1,0.901111,0.910972,0.94375,0.882361,0.948889,0.737361,0.915139,0.974028,0.807778]
area_under_roc_curve
0.8930000000000001 [0.972222,0.874861,0.892222,0.916528,0.822917,0.904028,0.812083,0.969028,0.97375,0.792361]
area_under_roc_curve
0.8699583333333333 [1,0.879167,0.923333,0.810278,0.873333,0.889444,0.656667,0.919444,0.997222,0.750694]
area_under_roc_curve
0.9126666666666666 [1,0.828611,0.945694,0.944028,0.892083,0.947361,0.842639,0.888194,0.974861,0.863194]
area_under_roc_curve
0.8720694444444445 [0.997222,0.746528,0.972917,0.907222,0.85375,0.831806,0.782361,0.948194,0.971667,0.709028]
area_under_roc_curve
0.9094722222222222 [1,0.936944,0.996806,0.863611,0.905278,0.944583,0.809583,0.939306,0.999583,0.699028]
area_under_roc_curve
0.894263888888889 [1,0.829722,0.872222,0.91625,0.8525,0.9125,0.819444,0.960139,0.996111,0.78375]
area_under_roc_curve
0.8867777777777779 [0.974583,0.859861,0.941667,0.882917,0.802222,0.969306,0.81125,0.915,0.945,0.765972]
area_under_roc_curve
0.8958749999999999 [1,0.787361,0.990417,0.967361,0.880556,0.917917,0.673333,0.988611,0.997222,0.755972]
area_under_roc_curve
0.8794305555555556 [0.994444,0.832361,0.965,0.868611,0.849444,0.924167,0.725,0.939306,0.939861,0.756111]
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
0.7639635293293828 [1,0.755556,0.809524,0.829268,0.714286,0.918919,0.487805,0.756757,0.923077,0.444444]
f_measure
0.7360378383484931 [0.95,0.666667,0.842105,0.842105,0.540541,0.634146,0.52381,0.863636,0.947368,0.55]
f_measure
0.7199727677988548 [1,0.714286,0.918919,0.648649,0.695652,0.777778,0.333333,0.777778,0.952381,0.380952]
f_measure
0.792575234855631 [1,0.65,0.894737,0.857143,0.693878,0.918919,0.594595,0.756757,0.974359,0.585366]
f_measure
0.7181768888572485 [0.97561,0.540541,0.894737,0.761905,0.65,0.684211,0.52381,0.727273,0.95,0.473684]
f_measure
0.7831210532330377 [1,0.790698,0.926829,0.702703,0.75,0.878049,0.595745,0.769231,0.947368,0.470588]
f_measure
0.7631637069441948 [1,0.7,0.833333,0.780488,0.648649,0.829268,0.545455,0.844444,0.95,0.5]
f_measure
0.7256835328616998 [0.974359,0.627451,0.842105,0.761905,0.615385,0.878049,0.511628,0.727273,0.857143,0.461538]
f_measure
0.7811759836583327 [1,0.6875,0.904762,0.9,0.736842,0.829268,0.444444,0.844444,0.97561,0.488889]
f_measure
0.7457208956952218 [0.952381,0.631579,0.863636,0.8,0.682927,0.894737,0.47619,0.857143,0.810811,0.487805]
kappa
0.7388888888888889
kappa
0.7055555555555556
kappa
0.6833333333333333
kappa
0.7666666666666667
kappa
0.6888888888888889
kappa
0.7611111111111112
kappa
0.7388888888888889
kappa
0.6888888888888889
kappa
0.7611111111111112
kappa
0.7166666666666667
kb_relative_information_score
154.49664966030122
kb_relative_information_score
149.5915482039085
kb_relative_information_score
144.83858557084207
kb_relative_information_score
157.14300074507676
kb_relative_information_score
143.32685172483878
kb_relative_information_score
157.23022190883287
kb_relative_information_score
151.07586238544928
kb_relative_information_score
145.4468412231914
kb_relative_information_score
154.59725812329782
kb_relative_information_score
147.94537700882896
mean_absolute_error
0.04816471861471862
mean_absolute_error
0.05233708513708511
mean_absolute_error
0.056309559884559865
mean_absolute_error
0.04609852092352092
mean_absolute_error
0.05946911976911972
mean_absolute_error
0.0443994227994228
mean_absolute_error
0.049513311688311676
mean_absolute_error
0.05798906926406924
mean_absolute_error
0.047058008658008646
mean_absolute_error
0.05459411976911976
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
0.7691157573077078 [1,0.68,0.772727,0.809524,0.681818,1,0.47619,0.823529,0.947368,0.5]
precision
0.7413090993973347 [0.95,0.636364,0.888889,0.888889,0.588235,0.619048,0.5,0.791667,1,0.55]
precision
0.7343994241053065 [1,0.681818,1,0.705882,0.615385,0.875,0.318182,0.875,0.909091,0.363636]
precision
0.8040849965900675 [1,0.65,0.944444,0.818182,0.586207,1,0.647059,0.823529,1,0.571429]
precision
0.7201222307104661 [0.952381,0.588235,0.944444,0.727273,0.65,0.722222,0.5,0.666667,0.95,0.5]
precision
0.7895161853197926 [1,0.73913,0.904762,0.764706,0.75,0.857143,0.518519,0.789474,1,0.571429]
precision
0.7687310924369748 [1,0.7,0.9375,0.761905,0.705882,0.809524,0.5,0.76,0.95,0.5625]
precision
0.7496034456099414 [1,0.516129,0.888889,0.727273,0.631579,0.857143,0.478261,0.923077,1,0.473684]
precision
0.7919985569985569 [1,0.916667,0.863636,0.9,0.777778,0.809524,0.5,0.76,0.952381,0.44]
precision
0.7543139376962905 [0.909091,0.666667,0.791667,0.933333,0.666667,0.944444,0.454545,0.818182,0.882353,0.47619]
predictive_accuracy
0.765
predictive_accuracy
0.735
predictive_accuracy
0.715
predictive_accuracy
0.79
predictive_accuracy
0.72
predictive_accuracy
0.785
predictive_accuracy
0.765
predictive_accuracy
0.72
predictive_accuracy
0.785
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 [1,0.85,0.85,0.85,0.75,0.85,0.5,0.7,0.9,0.4]
recall
0.735 [0.95,0.7,0.8,0.8,0.5,0.65,0.55,0.95,0.9,0.55]
recall
0.715 [1,0.75,0.85,0.6,0.8,0.7,0.35,0.7,1,0.4]
recall
0.79 [1,0.65,0.85,0.9,0.85,0.85,0.55,0.7,0.95,0.6]
recall
0.72 [1,0.5,0.85,0.8,0.65,0.65,0.55,0.8,0.95,0.45]
recall
0.785 [1,0.85,0.95,0.65,0.75,0.9,0.7,0.75,0.9,0.4]
recall
0.765 [1,0.7,0.75,0.8,0.6,0.85,0.6,0.95,0.95,0.45]
recall
0.72 [0.95,0.8,0.8,0.8,0.6,0.9,0.55,0.6,0.75,0.45]
recall
0.785 [1,0.55,0.95,0.9,0.7,0.85,0.4,0.95,1,0.55]
recall
0.745 [1,0.6,0.95,0.7,0.7,0.85,0.5,0.9,0.75,0.5]
relative_absolute_error
0.2675817700817704
relative_absolute_error
0.2907615840949176
relative_absolute_error
0.31283088824755517
relative_absolute_error
0.25610289401956093
relative_absolute_error
0.3303839987173321
relative_absolute_error
0.24666345999679362
relative_absolute_error
0.27507395382395405
relative_absolute_error
0.3221614959114962
relative_absolute_error
0.2614333814333817
relative_absolute_error
0.30330066538399897
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
0.20017107959341468
root_mean_squared_error
0.20994062327110316
root_mean_squared_error
0.22184004517658032
root_mean_squared_error
0.19211685136896833
root_mean_squared_error
0.22428142568641074
root_mean_squared_error
0.19313076109541133
root_mean_squared_error
0.20495768142590795
root_mean_squared_error
0.21447236838742464
root_mean_squared_error
0.1985634391180224
root_mean_squared_error
0.2128461906434385
root_relative_squared_error
0.6672369319780493
root_relative_squared_error
0.6998020775703444
root_relative_squared_error
0.7394668172552682
root_relative_squared_error
0.6403895045632281
root_relative_squared_error
0.7476047522880362
root_relative_squared_error
0.6437692036513716
root_relative_squared_error
0.6831922714196935
root_relative_squared_error
0.7149078946247492
root_relative_squared_error
0.6618781303934084
root_relative_squared_error
0.7094873021447954
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
189.6953539999231
usercpu_time_millis
179.13526600023033
usercpu_time_millis
178.3111739996457
usercpu_time_millis
151.51797400085343
usercpu_time_millis
128.12318399937794
usercpu_time_millis
126.47859400021844
usercpu_time_millis
132.74928000100772
usercpu_time_millis
127.34681799884129
usercpu_time_millis
131.43229899924336
usercpu_time_millis
126.34545500077365
usercpu_time_millis_testing
1.758260999849881
usercpu_time_millis_testing
1.7512290005470277
usercpu_time_millis_testing
1.7457129997637821
usercpu_time_millis_testing
1.2942720004502917
usercpu_time_millis_testing
1.297746999625815
usercpu_time_millis_testing
1.4235300004656892
usercpu_time_millis_testing
1.294485000471468
usercpu_time_millis_testing
1.5572939992125612
usercpu_time_millis_testing
1.2880929998573265
usercpu_time_millis_testing
1.340976000392402
usercpu_time_millis_training
187.93709300007322
usercpu_time_millis_training
177.3840369996833
usercpu_time_millis_training
176.5654609998819
usercpu_time_millis_training
150.22370200040314
usercpu_time_millis_training
126.82543699975213
usercpu_time_millis_training
125.05506399975275
usercpu_time_millis_training
131.45479500053625
usercpu_time_millis_training
125.78952399962873
usercpu_time_millis_training
130.14420599938603
usercpu_time_millis_training
125.00447900038125