10095879
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)
8021013
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
13
8783
min_samples_split
20
8783
min_weight_fraction_leaf
0.0
8783
presort
false
8783
random_state
15911
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
21112295
description
https://api.openml.org/data/download/21112295/description.xml
-1
21112296
predictions
https://api.openml.org/data/download/21112296/predictions.arff
area_under_roc_curve
0.9388676388888889 [0.993649,0.901942,0.967147,0.945329,0.910175,0.951176,0.890892,0.972689,0.980038,0.87564]
average_cost
0
f_measure
0.7509379272705822 [0.948148,0.672897,0.895288,0.769976,0.686717,0.829016,0.487437,0.835749,0.937343,0.446809]
kappa
0.7244444444444444
kb_relative_information_score
1524.5075019246924
mean_absolute_error
0.05759390228897766
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7518142315427974 [0.936585,0.631579,0.93956,0.746479,0.688442,0.860215,0.489899,0.808411,0.939698,0.477273]
predictive_accuracy
0.752
prior_entropy
3.321928094887362
recall
0.752 [0.96,0.72,0.855,0.795,0.685,0.8,0.485,0.865,0.935,0.42]
relative_absolute_error
0.3199661238276438
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.19004775347648453
root_relative_squared_error
0.6334925115882721
total_cost
0
area_under_roc_curve
0.9460972222222224 [1,0.965139,0.964444,0.933194,0.932778,0.994583,0.875694,0.992639,0.9975,0.805]
area_under_roc_curve
0.9116805555555557 [0.971528,0.910556,0.919861,0.929722,0.845556,0.8975,0.840556,0.988056,0.948056,0.865417]
area_under_roc_curve
0.9384999999999999 [0.998889,0.898472,0.945139,0.868056,0.972222,0.990694,0.904167,0.946528,0.999722,0.861111]
area_under_roc_curve
0.9257361111111111 [0.996667,0.860556,0.971806,0.987778,0.911806,0.879444,0.832778,0.940278,0.974583,0.901667]
area_under_roc_curve
0.9397083333333334 [1,0.902917,0.966111,0.934028,0.948333,0.967917,0.920278,0.928889,0.996528,0.832083]
area_under_roc_curve
0.9481388888888889 [0.999861,0.944167,0.998472,0.963056,0.906667,0.935833,0.890556,0.984861,0.99875,0.859167]
area_under_roc_curve
0.9513333333333334 [0.999722,0.896111,0.9475,0.961111,0.931389,0.978194,0.944306,0.984167,0.974583,0.89625]
area_under_roc_curve
0.9366388888888889 [0.973611,0.886528,0.999444,0.941389,0.835694,0.993889,0.921528,0.987222,0.945278,0.881806]
area_under_roc_curve
0.9650972222222224 [0.999722,0.867222,0.998333,0.991944,0.959167,0.943333,0.959722,0.989167,1,0.942361]
area_under_roc_curve
0.9290416666666667 [0.996389,0.89125,0.962222,0.941111,0.8625,0.937917,0.821111,0.991944,0.969167,0.916806]
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
0.7415288558595357 [0.97561,0.652174,0.842105,0.820513,0.790698,0.923077,0.410256,0.789474,0.878049,0.333333]
f_measure
0.6890446332734075 [0.894737,0.697674,0.833333,0.780488,0.571429,0.648649,0.1875,0.829268,0.947368,0.5]
f_measure
0.7328552095521478 [0.95,0.638298,0.918919,0.666667,0.755556,0.878049,0.409091,0.833333,0.97561,0.30303]
f_measure
0.7602176053147004 [0.904762,0.651163,0.923077,0.826087,0.634146,0.777778,0.571429,0.810811,0.947368,0.555556]
f_measure
0.7080861660191409 [0.97561,0.595745,0.888889,0.702703,0.619048,0.842105,0.363636,0.727273,0.97561,0.390244]
f_measure
0.7749359065411768 [0.97561,0.782609,0.947368,0.837209,0.628571,0.857143,0.484848,0.790698,0.904762,0.540541]
f_measure
0.7810601303458446 [0.974359,0.666667,0.923077,0.761905,0.75,0.761905,0.734694,0.863636,0.974359,0.4]
f_measure
0.7537603366673133 [0.95,0.651163,0.9,0.651163,0.628571,0.9,0.564103,0.863636,0.864865,0.564103]
f_measure
0.8025867780160449 [0.95,0.702703,0.894737,0.826087,0.8,0.823529,0.585366,0.888889,0.97561,0.578947]
f_measure
0.7389099817175219 [0.930233,0.7,0.878049,0.8,0.666667,0.864865,0.434783,0.952381,0.926829,0.235294]
kappa
0.7166666666666667
kappa
0.6555555555555556
kappa
0.7055555555555556
kappa
0.7333333333333334
kappa
0.6777777777777777
kappa
0.7611111111111112
kappa
0.7666666666666667
kappa
0.7277777777777777
kappa
0.7833333333333334
kappa
0.7166666666666667
kb_relative_information_score
153.84700312204703
kb_relative_information_score
142.3514178921682
kb_relative_information_score
150.62718689333002
kb_relative_information_score
151.5496650850865
kb_relative_information_score
148.95149243228227
kb_relative_information_score
154.64822676897526
kb_relative_information_score
158.18532220279084
kb_relative_information_score
151.73313348724722
kb_relative_information_score
164.1625474497404
kb_relative_information_score
148.4515065910405
mean_absolute_error
0.05509648424166727
mean_absolute_error
0.06815682404746198
mean_absolute_error
0.05900579145006587
mean_absolute_error
0.057103534958333674
mean_absolute_error
0.06113335379017262
mean_absolute_error
0.055808078687439255
mean_absolute_error
0.05136812304019395
mean_absolute_error
0.059845867258853484
mean_absolute_error
0.046572348561049914
mean_absolute_error
0.06184861685453386
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
0.7433325859241191 [0.952381,0.576923,0.888889,0.842105,0.73913,0.947368,0.421053,0.833333,0.857143,0.375]
precision
0.7013133827312217 [0.944444,0.652174,0.9375,0.761905,0.545455,0.705882,0.25,0.809524,1,0.40625]
precision
0.7442194749694748 [0.95,0.555556,1,0.75,0.68,0.857143,0.375,0.9375,0.952381,0.384615]
precision
0.7697324773310774 [0.863636,0.608696,0.947368,0.730769,0.619048,0.875,0.545455,0.882353,1,0.625]
precision
0.7176941794588854 [0.952381,0.518519,1,0.764706,0.590909,0.888889,0.461538,0.666667,0.952381,0.380952]
precision
0.7785199199777204 [0.952381,0.692308,1,0.782609,0.733333,0.818182,0.615385,0.73913,0.863636,0.588235]
precision
0.7914270197437167 [1,0.75,0.947368,0.727273,0.75,0.727273,0.62069,0.791667,1,0.6]
precision
0.7591462511778166 [0.95,0.608696,0.9,0.608696,0.733333,0.9,0.578947,0.791667,0.941176,0.578947]
precision
0.8124840192487252 [0.95,0.764706,0.944444,0.730769,0.8,1,0.571429,0.8,0.952381,0.611111]
precision
0.7402067029304882 [0.869565,0.7,0.857143,0.8,0.75,0.941176,0.384615,0.909091,0.904762,0.285714]
predictive_accuracy
0.745
predictive_accuracy
0.69
predictive_accuracy
0.735
predictive_accuracy
0.76
predictive_accuracy
0.71
predictive_accuracy
0.785
predictive_accuracy
0.79
predictive_accuracy
0.755
predictive_accuracy
0.805
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
0.745 [1,0.75,0.8,0.8,0.85,0.9,0.4,0.75,0.9,0.3]
recall
0.69 [0.85,0.75,0.75,0.8,0.6,0.6,0.15,0.85,0.9,0.65]
recall
0.735 [0.95,0.75,0.85,0.6,0.85,0.9,0.45,0.75,1,0.25]
recall
0.76 [0.95,0.7,0.9,0.95,0.65,0.7,0.6,0.75,0.9,0.5]
recall
0.71 [1,0.7,0.8,0.65,0.65,0.8,0.3,0.8,1,0.4]
recall
0.785 [1,0.9,0.9,0.9,0.55,0.9,0.4,0.85,0.95,0.5]
recall
0.79 [0.95,0.6,0.9,0.8,0.75,0.8,0.9,0.95,0.95,0.3]
recall
0.755 [0.95,0.7,0.9,0.7,0.55,0.9,0.55,0.95,0.8,0.55]
recall
0.805 [0.95,0.65,0.85,0.95,0.8,0.7,0.6,1,1,0.55]
recall
0.745 [1,0.7,0.9,0.8,0.6,0.8,0.5,1,0.95,0.2]
relative_absolute_error
0.30609157912037405
relative_absolute_error
0.3786490224859003
relative_absolute_error
0.3278099525003663
relative_absolute_error
0.3172418608796319
relative_absolute_error
0.3396297432787372
relative_absolute_error
0.3100448815968851
relative_absolute_error
0.2853784613344111
relative_absolute_error
0.3324770403269642
relative_absolute_error
0.25873526978361094
relative_absolute_error
0.3436034269696329
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
0.18904290565301207
root_mean_squared_error
0.21372669193629037
root_mean_squared_error
0.19114306676835577
root_mean_squared_error
0.19316535185216954
root_mean_squared_error
0.1978144919625441
root_mean_squared_error
0.18140021242608942
root_mean_squared_error
0.1784572025038974
root_mean_squared_error
0.1896794153921646
root_mean_squared_error
0.16261344710488365
root_mean_squared_error
0.1990267435146478
root_relative_squared_error
0.6301430188433739
root_relative_squared_error
0.7124223064543017
root_relative_squared_error
0.6371435558945195
root_relative_squared_error
0.6438845061738988
root_relative_squared_error
0.6593816398751474
root_relative_squared_error
0.6046673747536317
root_relative_squared_error
0.5948573416796583
root_relative_squared_error
0.6322647179738824
root_relative_squared_error
0.5420448236829458
root_relative_squared_error
0.6634224783821598
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
665.3999019945331
usercpu_time_millis
502.60639900079696
usercpu_time_millis
496.26826100211474
usercpu_time_millis
489.42988400085596
usercpu_time_millis
476.7316099969321
usercpu_time_millis
491.13281999962055
usercpu_time_millis
513.6975950008491
usercpu_time_millis
518.9715089945821
usercpu_time_millis
489.53143999824533
usercpu_time_millis
494.6861979988171
usercpu_time_millis_testing
2.019544997892808
usercpu_time_millis_testing
1.6567729981034063
usercpu_time_millis_testing
1.6301420000672806
usercpu_time_millis_testing
1.522108999779448
usercpu_time_millis_testing
1.4797959993302356
usercpu_time_millis_testing
1.6994399993564002
usercpu_time_millis_testing
1.6943289992923383
usercpu_time_millis_testing
1.74883199724718
usercpu_time_millis_testing
1.6485599990119226
usercpu_time_millis_testing
1.6910400008782744
usercpu_time_millis_training
663.3803569966403
usercpu_time_millis_training
500.94962600269355
usercpu_time_millis_training
494.63811900204746
usercpu_time_millis_training
487.9077750010765
usercpu_time_millis_training
475.25181399760186
usercpu_time_millis_training
489.43338000026415
usercpu_time_millis_training
512.0032660015568
usercpu_time_millis_training
517.2226769973349
usercpu_time_millis_training
487.8828799992334
usercpu_time_millis_training
492.9951579979388