10093685
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)
8018799
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
"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
17
8783
min_samples_split
6
8783
min_weight_fraction_leaf
0.0
8783
presort
false
8783
random_state
52057
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
21107907
description
https://www.openml.org/data/download/21107907/description.xml
-1
21107908
predictions
https://www.openml.org/data/download/21107908/predictions.arff
area_under_roc_curve
0.9434723611111111 [0.993878,0.894146,0.970711,0.942014,0.929949,0.954468,0.895651,0.973449,0.979468,0.90099]
average_cost
0
f_measure
0.7383409023680402 [0.953317,0.632287,0.895833,0.73913,0.663265,0.80829,0.474227,0.842105,0.932331,0.442623]
kappa
0.7116666666666668
kb_relative_information_score
1498.783000764398
mean_absolute_error
0.06128661580966102
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7395224015548576 [0.937198,0.573171,0.934783,0.714953,0.677083,0.83871,0.489362,0.807339,0.934673,0.487952]
predictive_accuracy
0.7404999999999999
prior_entropy
3.321928094887362
recall
0.7405 [0.97,0.705,0.86,0.765,0.65,0.78,0.46,0.88,0.93,0.405]
relative_absolute_error
0.34048119894255074
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.19151281777776005
root_relative_squared_error
0.6383760592591904
total_cost
0
area_under_roc_curve
0.9450416666666667 [0.999583,0.921528,0.965694,0.905694,0.951667,0.994167,0.85875,0.966111,0.998056,0.889167]
area_under_roc_curve
0.9207083333333332 [0.974444,0.911944,0.938056,0.928472,0.862361,0.876667,0.897361,0.987639,0.948333,0.881806]
area_under_roc_curve
0.9426111111111113 [0.998889,0.881111,0.941389,0.890972,0.972778,0.986806,0.901528,0.940278,0.998333,0.914028]
area_under_roc_curve
0.9405972222222223 [0.997778,0.879722,0.971944,0.957917,0.934306,0.90625,0.924861,0.96625,0.973889,0.893056]
area_under_roc_curve
0.9390555555555555 [0.999722,0.875556,0.965556,0.930139,0.963194,0.960694,0.901944,0.957361,0.996667,0.839722]
area_under_roc_curve
0.9523055555555555 [0.999861,0.90375,0.998472,0.977917,0.931389,0.939583,0.886389,0.985833,0.99875,0.901111]
area_under_roc_curve
0.9525555555555556 [0.999722,0.891389,0.97,0.9575,0.952639,0.955556,0.95375,0.962083,0.974167,0.90875]
area_under_roc_curve
0.9474027777777778 [0.973611,0.883056,0.999444,0.940694,0.906806,0.987222,0.9175,0.994306,0.942639,0.92875]
area_under_roc_curve
0.9675 [0.999583,0.907361,0.998194,0.995278,0.930833,0.992778,0.921667,0.992083,1,0.937222]
area_under_roc_curve
0.9308055555555554 [0.995972,0.889583,0.962361,0.936667,0.8875,0.960694,0.804028,0.991111,0.968472,0.911667]
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
0.7281559286788257 [0.97561,0.638298,0.842105,0.756757,0.73913,0.864865,0.428571,0.842105,0.9,0.294118]
f_measure
0.70867917049315 [0.95,0.681818,0.833333,0.761905,0.594595,0.684211,0.285714,0.837209,0.947368,0.510638]
f_measure
0.7046079013726073 [0.95,0.576923,0.918919,0.555556,0.755556,0.820513,0.410256,0.764706,0.904762,0.388889]
f_measure
0.7144088130182671 [0.904762,0.585366,0.923077,0.745098,0.55,0.702703,0.619048,0.809524,0.947368,0.357143]
f_measure
0.7311054529618879 [0.97561,0.590909,0.888889,0.744186,0.65,0.789474,0.457143,0.818182,0.97561,0.421053]
f_measure
0.7551903233691527 [0.97561,0.666667,0.947368,0.769231,0.628571,0.837209,0.4375,0.844444,0.904762,0.540541]
f_measure
0.7742515507598946 [0.974359,0.666667,0.923077,0.769231,0.731707,0.772727,0.578947,0.863636,0.974359,0.487805]
f_measure
0.7353120855644962 [0.95,0.604651,0.9,0.636364,0.611111,0.871795,0.536585,0.837209,0.864865,0.540541]
f_measure
0.7816401088595029 [0.95,0.622222,0.894737,0.869565,0.717949,0.857143,0.5,0.883721,0.97561,0.545455]
f_measure
0.7333162827305718 [0.930233,0.695652,0.883721,0.756757,0.606061,0.888889,0.454545,0.904762,0.926829,0.285714]
kappa
0.7
kappa
0.6777777777777777
kappa
0.6722222222222222
kappa
0.6944444444444444
kappa
0.7055555555555556
kappa
0.7388888888888889
kappa
0.75
kappa
0.7055555555555556
kappa
0.7611111111111112
kappa
0.7111111111111111
kb_relative_information_score
147.76485662798166
kb_relative_information_score
145.30718494300766
kb_relative_information_score
143.0148029234788
kb_relative_information_score
148.14425461623756
kb_relative_information_score
149.03026273483684
kb_relative_information_score
151.9835543020922
kb_relative_information_score
155.85368112565087
kb_relative_information_score
150.11362366907844
kb_relative_information_score
159.38835988846594
kb_relative_information_score
148.1824199335816
mean_absolute_error
0.06245589223098652
mean_absolute_error
0.06547862800042097
mean_absolute_error
0.06708153696206325
mean_absolute_error
0.0607796372688811
mean_absolute_error
0.062040716190534376
mean_absolute_error
0.059473361725045255
mean_absolute_error
0.056231837666354395
mean_absolute_error
0.061603239981122423
mean_absolute_error
0.053657506617906525
mean_absolute_error
0.06406380145329246
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
0.7370500088147147 [0.952381,0.555556,0.888889,0.823529,0.653846,0.941176,0.409091,0.888889,0.9,0.357143]
precision
0.7169440246454313 [0.95,0.625,0.9375,0.727273,0.647059,0.722222,0.333333,0.782609,1,0.444444]
precision
0.7216615686944634 [0.95,0.46875,1,0.625,0.68,0.842105,0.421053,0.928571,0.863636,0.4375]
precision
0.7298678827913322 [0.863636,0.571429,0.947368,0.612903,0.55,0.764706,0.590909,0.772727,1,0.625]
precision
0.7353191856452725 [0.952381,0.541667,1,0.695652,0.65,0.833333,0.533333,0.75,0.952381,0.444444]
precision
0.7624430228092902 [0.952381,0.571429,1,0.789474,0.733333,0.782609,0.583333,0.76,0.863636,0.588235]
precision
0.778842940685046 [1,0.75,0.947368,0.789474,0.714286,0.708333,0.611111,0.791667,1,0.47619]
precision
0.7416617550910525 [0.95,0.565217,0.9,0.583333,0.6875,0.894737,0.52381,0.782609,0.941176,0.588235]
precision
0.7931292920148755 [0.95,0.56,0.944444,0.769231,0.736842,1,0.5,0.826087,0.952381,0.692308]
precision
0.7422195238691401 [0.869565,0.615385,0.826087,0.823529,0.769231,1,0.416667,0.863636,0.904762,0.333333]
predictive_accuracy
0.73
predictive_accuracy
0.71
predictive_accuracy
0.705
predictive_accuracy
0.725
predictive_accuracy
0.735
predictive_accuracy
0.765
predictive_accuracy
0.775
predictive_accuracy
0.735
predictive_accuracy
0.785
predictive_accuracy
0.74
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
0.73 [1,0.75,0.8,0.7,0.85,0.8,0.45,0.8,0.9,0.25]
recall
0.71 [0.95,0.75,0.75,0.8,0.55,0.65,0.25,0.9,0.9,0.6]
recall
0.705 [0.95,0.75,0.85,0.5,0.85,0.8,0.4,0.65,0.95,0.35]
recall
0.725 [0.95,0.6,0.9,0.95,0.55,0.65,0.65,0.85,0.9,0.25]
recall
0.735 [1,0.65,0.8,0.8,0.65,0.75,0.4,0.9,1,0.4]
recall
0.765 [1,0.8,0.9,0.75,0.55,0.9,0.35,0.95,0.95,0.5]
recall
0.775 [0.95,0.6,0.9,0.75,0.75,0.85,0.55,0.95,0.95,0.5]
recall
0.735 [0.95,0.65,0.9,0.7,0.55,0.85,0.55,0.9,0.8,0.5]
recall
0.785 [0.95,0.7,0.85,1,0.7,0.75,0.5,0.95,1,0.45]
recall
0.74 [1,0.8,0.95,0.7,0.5,0.8,0.5,0.95,0.95,0.25]
relative_absolute_error
0.34697717906103664
relative_absolute_error
0.3637701555578947
relative_absolute_error
0.3726752053447962
relative_absolute_error
0.3376646514937843
relative_absolute_error
0.34467064550296916
relative_absolute_error
0.3304075651391407
relative_absolute_error
0.31239909814641365
relative_absolute_error
0.3422402221173472
relative_absolute_error
0.2980972589883699
relative_absolute_error
0.3559100080738474
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
0.19830529513230766
root_mean_squared_error
0.20502683548514963
root_mean_squared_error
0.2033837253340795
root_mean_squared_error
0.19330828517151857
root_mean_squared_error
0.19322660725180318
root_mean_squared_error
0.1834877543384142
root_mean_squared_error
0.17982946497784688
root_mean_squared_error
0.18964690970260248
root_mean_squared_error
0.1700044829487845
root_mean_squared_error
0.1961305145550802
root_relative_squared_error
0.6610176504410259
root_relative_squared_error
0.6834227849504991
root_relative_squared_error
0.6779457511135987
root_relative_squared_error
0.6443609505717289
root_relative_squared_error
0.6440886908393444
root_relative_squared_error
0.6116258477947143
root_relative_squared_error
0.5994315499261567
root_relative_squared_error
0.632156365675342
root_relative_squared_error
0.566681609829282
root_relative_squared_error
0.6537683818502678
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
622.591139999713
usercpu_time_millis
498.0849280000257
usercpu_time_millis
492.2883710005408
usercpu_time_millis
488.3836760000122
usercpu_time_millis
492.4327770004311
usercpu_time_millis
481.6250640014914
usercpu_time_millis
494.1112320011598
usercpu_time_millis
520.466153999223
usercpu_time_millis
492.11781099802465
usercpu_time_millis
508.18119200084766
usercpu_time_millis_testing
2.110822999384254
usercpu_time_millis_testing
2.0013339999422897
usercpu_time_millis_testing
1.7982339995796792
usercpu_time_millis_testing
1.9834329996228917
usercpu_time_millis_testing
1.8453960001352243
usercpu_time_millis_testing
1.9387280008231755
usercpu_time_millis_testing
1.7254950016649673
usercpu_time_millis_testing
1.8226939992018742
usercpu_time_millis_testing
1.842361998569686
usercpu_time_millis_testing
1.8246889994770754
usercpu_time_millis_training
620.4803170003288
usercpu_time_millis_training
496.0835940000834
usercpu_time_millis_training
490.4901370009611
usercpu_time_millis_training
486.4002430003893
usercpu_time_millis_training
490.58738100029586
usercpu_time_millis_training
479.68633600066823
usercpu_time_millis_training
492.38573699949484
usercpu_time_millis_training
518.6434600000212
usercpu_time_millis_training
490.27544899945497
usercpu_time_millis_training
506.3565030013706