10144291
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)
8069880
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
10
8783
min_samples_split
7
8783
min_weight_fraction_leaf
0.0
8783
presort
false
8783
random_state
25162
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
21209120
description
https://api.openml.org/data/download/21209120/description.xml
-1
21209122
predictions
https://api.openml.org/data/download/21209122/predictions.arff
area_under_roc_curve
0.9303565277777779 [0.988689,0.882012,0.967064,0.941118,0.916381,0.944494,0.848425,0.975429,0.975153,0.8648]
average_cost
0
f_measure
0.7628443286237421 [0.962594,0.689157,0.908629,0.813725,0.709512,0.838875,0.49635,0.833333,0.935323,0.440945]
kappa
0.7372222222222222
kb_relative_information_score
1532.9609306442558
mean_absolute_error
0.05470115343720636
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7630371574786736 [0.960199,0.665116,0.92268,0.798077,0.730159,0.858639,0.483412,0.817308,0.930693,0.464088]
predictive_accuracy
0.7635
prior_entropy
3.321928094887362
recall
0.7635 [0.965,0.715,0.895,0.83,0.69,0.82,0.51,0.85,0.94,0.42]
relative_absolute_error
0.3038952968733593
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.1910444431687692
root_relative_squared_error
0.6368148105625542
total_cost
0
area_under_roc_curve
0.9439583333333335 [0.999861,0.943194,0.990278,0.940694,0.936111,0.968333,0.858472,0.988611,0.998333,0.815694]
area_under_roc_curve
0.9067083333333334 [0.971528,0.912083,0.917917,0.903611,0.798472,0.89125,0.860139,0.98875,0.948333,0.875]
area_under_roc_curve
0.9338750000000001 [0.999583,0.874444,0.945417,0.934444,0.985139,0.990417,0.836528,0.943056,0.999861,0.829861]
area_under_roc_curve
0.9186527777777779 [0.97125,0.868889,0.97,0.984861,0.945417,0.879861,0.793611,0.968472,0.949167,0.855]
area_under_roc_curve
0.9194722222222222 [0.997222,0.843333,0.946111,0.915139,0.901528,0.946111,0.874306,0.928333,0.996667,0.845972]
area_under_roc_curve
0.9419444444444445 [1,0.915694,0.998333,0.964028,0.920139,0.936111,0.8525,0.99,0.998194,0.844444]
area_under_roc_curve
0.9450972222222224 [0.999583,0.8975,0.947639,0.912222,0.979583,0.980694,0.892917,0.985417,0.974583,0.880833]
area_under_roc_curve
0.9180416666666666 [0.974306,0.795139,0.997083,0.923889,0.847361,0.990417,0.839306,0.985556,0.920417,0.906944]
area_under_roc_curve
0.9534305555555557 [0.974444,0.890556,0.995278,0.989722,0.9525,0.917222,0.887361,0.989167,0.999722,0.938333]
area_under_roc_curve
0.9224861111111111 [0.999583,0.877639,0.964028,0.941111,0.902639,0.9425,0.785417,0.991111,0.969444,0.851389]
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
0.7645620986403743 [0.97561,0.682927,0.9,0.85,0.75,0.923077,0.465116,0.820513,0.9,0.378378]
f_measure
0.7180252304924136 [0.923077,0.697674,0.864865,0.75,0.585366,0.666667,0.363636,0.871795,0.947368,0.509804]
f_measure
0.7496940152427958 [0.974359,0.666667,0.918919,0.820513,0.791667,0.857143,0.5,0.777778,0.97561,0.214286]
f_measure
0.7846532688413987 [0.95,0.666667,0.95,0.851064,0.727273,0.777778,0.578947,0.833333,0.947368,0.564103]
f_measure
0.7494632608788128 [0.97561,0.564103,0.894737,0.8,0.685714,0.9,0.511628,0.782609,0.930233,0.45]
f_measure
0.7417876547896708 [1,0.711111,0.95,0.837209,0.647059,0.8,0.30303,0.818182,0.930233,0.421053]
f_measure
0.792309216089704 [0.974359,0.780488,0.923077,0.810811,0.769231,0.829268,0.622222,0.863636,0.95,0.4]
f_measure
0.7690216919661782 [0.95,0.65,0.930233,0.727273,0.709677,0.95,0.512821,0.837209,0.864865,0.55814]
f_measure
0.7854473133204151 [0.974359,0.7,0.871795,0.837209,0.736842,0.756757,0.622222,0.909091,0.97561,0.470588]
f_measure
0.7485836007645423 [0.930233,0.761905,0.878049,0.85,0.666667,0.918919,0.409091,0.810811,0.926829,0.333333]
kappa
0.7388888888888889
kappa
0.6833333333333333
kappa
0.7333333333333334
kappa
0.7611111111111112
kappa
0.7222222222222222
kappa
0.7277777777777777
kappa
0.7722222222222223
kappa
0.7444444444444445
kappa
0.7666666666666667
kappa
0.7222222222222222
kb_relative_information_score
154.48369364742024
kb_relative_information_score
143.22774577897425
kb_relative_information_score
153.36963160604012
kb_relative_information_score
153.2454348105422
kb_relative_information_score
152.62052795149953
kb_relative_information_score
151.75719244940555
kb_relative_information_score
157.25952127014628
kb_relative_information_score
153.02555814725696
kb_relative_information_score
161.04354438461934
kb_relative_information_score
152.9280805983724
mean_absolute_error
0.05292293758013572
mean_absolute_error
0.06397306226625109
mean_absolute_error
0.05570012307953481
mean_absolute_error
0.05429610018464508
mean_absolute_error
0.05483726359639669
mean_absolute_error
0.055957335071189516
mean_absolute_error
0.051235816557024
mean_absolute_error
0.05334152185533763
mean_absolute_error
0.047836024175343016
mean_absolute_error
0.05691135000620291
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
0.765506861783615 [0.952381,0.666667,0.9,0.85,0.75,0.947368,0.434783,0.842105,0.9,0.411765]
precision
0.7321988044782108 [0.947368,0.652174,0.941176,0.75,0.571429,0.684211,0.461538,0.894737,1,0.419355]
precision
0.7606174527227157 [1,0.636364,1,0.842105,0.678571,0.818182,0.428571,0.875,0.952381,0.375]
precision
0.7946329523303207 [0.95,0.636364,0.95,0.740741,0.666667,0.875,0.611111,0.9375,1,0.578947]
precision
0.7599239877843997 [0.952381,0.578947,0.944444,0.933333,0.8,0.9,0.478261,0.692308,0.869565,0.45]
precision
0.7406948027817593 [1,0.64,0.95,0.782609,0.785714,0.8,0.384615,0.75,0.869565,0.444444]
precision
0.7958956951201535 [1,0.761905,0.947368,0.882353,0.789474,0.809524,0.56,0.791667,0.95,0.466667]
precision
0.7858071970206848 [0.95,0.65,0.869565,0.666667,1,0.95,0.526316,0.782609,0.941176,0.521739]
precision
0.7895795584442777 [1,0.7,0.894737,0.782609,0.777778,0.823529,0.56,0.833333,0.952381,0.571429]
precision
0.7525306174061055 [0.869565,0.727273,0.857143,0.85,0.684211,1,0.375,0.882353,0.904762,0.375]
predictive_accuracy
0.765
predictive_accuracy
0.715
predictive_accuracy
0.76
predictive_accuracy
0.785
predictive_accuracy
0.75
predictive_accuracy
0.755
predictive_accuracy
0.795
predictive_accuracy
0.77
predictive_accuracy
0.79
predictive_accuracy
0.75
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 [1,0.7,0.9,0.85,0.75,0.9,0.5,0.8,0.9,0.35]
recall
0.715 [0.9,0.75,0.8,0.75,0.6,0.65,0.3,0.85,0.9,0.65]
recall
0.76 [0.95,0.7,0.85,0.8,0.95,0.9,0.6,0.7,1,0.15]
recall
0.785 [0.95,0.7,0.95,1,0.8,0.7,0.55,0.75,0.9,0.55]
recall
0.75 [1,0.55,0.85,0.7,0.6,0.9,0.55,0.9,1,0.45]
recall
0.755 [1,0.8,0.95,0.9,0.55,0.8,0.25,0.9,1,0.4]
recall
0.795 [0.95,0.8,0.9,0.75,0.75,0.85,0.7,0.95,0.95,0.35]
recall
0.77 [0.95,0.65,1,0.8,0.55,0.95,0.5,0.9,0.8,0.6]
recall
0.79 [0.95,0.7,0.85,0.9,0.7,0.7,0.7,1,1,0.4]
recall
0.75 [1,0.8,0.9,0.85,0.65,0.85,0.45,0.75,0.95,0.3]
relative_absolute_error
0.2940163198896432
relative_absolute_error
0.35540590147917306
relative_absolute_error
0.3094451282196382
relative_absolute_error
0.3016450010258063
relative_absolute_error
0.3046514644244264
relative_absolute_error
0.31087408372883096
relative_absolute_error
0.28464342531680026
relative_absolute_error
0.2963417880852094
relative_absolute_error
0.26575568986301706
relative_absolute_error
0.31617416670112763
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
0.18935394130285677
root_mean_squared_error
0.21299529984979176
root_mean_squared_error
0.18896788643464674
root_mean_squared_error
0.19223343298353815
root_mean_squared_error
0.19492955764564712
root_mean_squared_error
0.18918317504622123
root_mean_squared_error
0.18218079186143288
root_mean_squared_error
0.19403049525530017
root_mean_squared_error
0.17117956438767523
root_mean_squared_error
0.19278848905129295
root_relative_squared_error
0.6311798043428563
root_relative_squared_error
0.7099843328326396
root_relative_squared_error
0.6298929547821561
root_relative_squared_error
0.6407781099451276
root_relative_squared_error
0.6497651921521574
root_relative_squared_error
0.6306105834874045
root_relative_squared_error
0.6072693062047767
root_relative_squared_error
0.6467683175176675
root_relative_squared_error
0.5705985479589177
root_relative_squared_error
0.6426282968376436
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
597.2376110003097
usercpu_time_millis
545.3068179995171
usercpu_time_millis
531.5983740001684
usercpu_time_millis
527.2880650009029
usercpu_time_millis
524.2957719965489
usercpu_time_millis
527.5645640031144
usercpu_time_millis
530.8125189985731
usercpu_time_millis
523.6925579993112
usercpu_time_millis
517.1943769964855
usercpu_time_millis
529.3675920001988
usercpu_time_millis_testing
1.7550140000821557
usercpu_time_millis_testing
1.874851997854421
usercpu_time_millis_testing
1.7751600025803782
usercpu_time_millis_testing
1.7852249984571245
usercpu_time_millis_testing
1.7232979989785235
usercpu_time_millis_testing
1.69425400235923
usercpu_time_millis_testing
1.550586999655934
usercpu_time_millis_testing
1.743370001349831
usercpu_time_millis_testing
1.8671959987841547
usercpu_time_millis_testing
1.4060549983696546
usercpu_time_millis_training
595.4825970002275
usercpu_time_millis_training
543.4319660016627
usercpu_time_millis_training
529.823213997588
usercpu_time_millis_training
525.5028400024457
usercpu_time_millis_training
522.5724739975703
usercpu_time_millis_training
525.8703100007551
usercpu_time_millis_training
529.2619319989171
usercpu_time_millis_training
521.9491879979614
usercpu_time_millis_training
515.3271809977014
usercpu_time_millis_training
527.9615370018291