8917186
1935
Hilde Weerts
14
Supervised Classification
8315
sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.ensemble.forest.RandomForestClassifier)(1)
6854176
categorical_features
[]
7644
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
7644
handle_unknown
"ignore"
7644
n_values
"auto"
7644
sparse
true
7644
threshold
0.0
7645
bootstrap
false
7684
class_weight
null
7684
criterion
"entropy"
7684
max_depth
null
7684
max_features
0.12291945003631144
7684
max_leaf_nodes
null
7684
min_impurity_decrease
0.0
7684
min_impurity_split
null
7684
min_samples_leaf
20
7684
min_samples_split
20
7684
min_weight_fraction_leaf
0.0
7684
n_estimators
500
7684
n_jobs
1
7684
oob_score
false
7684
random_state
1
7684
verbose
0
7684
warm_start
false
7684
memory
null
8315
axis
0
8316
categorical_features
[]
8316
copy
true
8316
fill_empty
0
8316
missing_values
"NaN"
8316
strategy
"mean"
8316
strategy_nominal
"most_frequent"
8316
verbose
0
8316
openml-python
Sklearn_0.19.1.
study_98
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
18750000
description
https://api.openml.org/data/download/18750000/description.xml
-1
18750001
predictions
https://api.openml.org/data/download/18750001/predictions.arff
area_under_roc_curve
0.9813713888888889 [1,0.973706,0.996767,0.993364,0.976469,0.992689,0.944764,0.992208,0.998669,0.945078]
average_cost
0
f_measure
0.8231268285153901 [0.997494,0.774026,0.931707,0.897756,0.796834,0.900243,0.541114,0.87037,0.97,0.551724]
kappa
0.8061111111111111
kb_relative_information_score
1418.4849534061234
mean_absolute_error
0.08534678656199167
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8231109607583399 [1,0.805405,0.909524,0.895522,0.843575,0.876777,0.576271,0.810345,0.97,0.543689]
predictive_accuracy
0.8255
prior_entropy
3.321928094887362
recall
0.8255 [0.995,0.745,0.955,0.9,0.755,0.925,0.51,0.94,0.97,0.56]
relative_absolute_error
0.47414881423327243
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.1771665837819362
root_relative_squared_error
0.5905552792731117
total_cost
0
area_under_roc_curve
0.9793055555555555 [1,0.975278,0.994444,0.994722,0.965278,1,0.912222,0.992222,0.999722,0.959167]
area_under_roc_curve
0.9803888888888888 [1,0.975278,0.997222,0.989722,0.959722,0.991667,0.951667,0.990278,0.997222,0.951111]
area_under_roc_curve
0.978888888888889 [1,0.974167,1,0.982222,0.984722,0.993056,0.921944,0.99,1,0.942778]
area_under_roc_curve
0.985861111111111 [1,0.982778,0.996111,0.996667,0.992778,0.995,0.966389,0.994167,0.997778,0.936944]
area_under_roc_curve
0.9814999999999999 [1,0.9625,0.997222,0.993611,0.985278,0.989444,0.951667,0.9925,1,0.942778]
area_under_roc_curve
0.9834166666666667 [1,0.968889,0.999722,0.991667,0.989167,0.992222,0.948889,0.993333,0.999722,0.950556]
area_under_roc_curve
0.9822777777777777 [1,0.973889,0.996944,0.998889,0.979722,0.978889,0.971667,0.988611,1,0.934167]
area_under_roc_curve
0.9844722222222224 [1,0.973056,0.998611,0.996667,0.976111,0.9975,0.951944,0.995278,0.998889,0.956667]
area_under_roc_curve
0.9819722222222222 [1,0.974167,0.999722,0.998056,0.983056,0.986667,0.9475,0.996111,1,0.934444]
area_under_roc_curve
0.9779166666666669 [1,0.979722,0.989444,0.997778,0.951111,0.999444,0.926389,0.993889,0.993889,0.9475]
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
0.7858812055153517 [0.974359,0.829268,0.904762,0.923077,0.820513,0.95,0.222222,0.878049,0.97561,0.380952]
f_measure
0.81270925233295 [1,0.842105,0.926829,0.9,0.666667,0.857143,0.571429,0.790698,0.95,0.622222]
f_measure
0.8367298268446044 [1,0.731707,0.974359,0.8,0.857143,0.9,0.529412,0.871795,0.97561,0.727273]
f_measure
0.8342845305888783 [1,0.756757,0.95,0.904762,0.782609,0.871795,0.666667,0.871795,0.974359,0.564103]
f_measure
0.7785229283085299 [1,0.611111,0.947368,0.837209,0.685714,0.844444,0.514286,0.808511,1,0.536585]
f_measure
0.8470924033119154 [1,0.820513,0.952381,0.864865,0.829268,0.926829,0.634146,0.952381,0.95,0.540541]
f_measure
0.858612584974141 [1,0.75,0.923077,0.95,0.857143,0.904762,0.7,0.869565,1,0.631579]
f_measure
0.8375427730049039 [1,0.8,0.952381,0.926829,0.810811,0.85,0.6,0.909091,0.947368,0.578947]
f_measure
0.8327207560707073 [1,0.823529,0.952381,0.952381,0.823529,0.926829,0.473684,0.851064,1,0.52381]
f_measure
0.8029191939378453 [1,0.769231,0.844444,0.918919,0.823529,0.97561,0.461538,0.909091,0.926829,0.4]
kappa
0.7666666666666667
kappa
0.7944444444444444
kappa
0.8222222222222222
kappa
0.8166666666666667
kappa
0.7611111111111112
kappa
0.8333333333333333
kappa
0.8444444444444444
kappa
0.8222222222222222
kappa
0.8166666666666667
kappa
0.7833333333333334
kb_relative_information_score
140.44559898246413
kb_relative_information_score
142.59101525699415
kb_relative_information_score
139.25867791560697
kb_relative_information_score
142.69893664243253
kb_relative_information_score
139.69451311077748
kb_relative_information_score
144.12390713958098
kb_relative_information_score
142.79391819953446
kb_relative_information_score
143.66222058871756
kb_relative_information_score
144.3834783775965
kb_relative_information_score
138.83268719242042
mean_absolute_error
0.08745506978847492
mean_absolute_error
0.08428400669723995
mean_absolute_error
0.08805919381857652
mean_absolute_error
0.08476996744027536
mean_absolute_error
0.08658713586686986
mean_absolute_error
0.08302433852519199
mean_absolute_error
0.08450407493759618
mean_absolute_error
0.08480993721700798
mean_absolute_error
0.0831370529633509
mean_absolute_error
0.08683708836533224
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
0.7835794030530872 [1,0.809524,0.863636,0.947368,0.842105,0.95,0.25,0.857143,0.952381,0.363636]
precision
0.8177629713281885 [1,0.888889,0.904762,0.9,0.75,0.818182,0.666667,0.73913,0.95,0.56]
precision
0.8389109136477557 [1,0.714286,1,0.8,0.818182,0.9,0.642857,0.894737,0.952381,0.666667]
precision
0.838210504665613 [1,0.823529,0.95,0.863636,0.692308,0.894737,0.684211,0.894737,1,0.578947]
precision
0.7857621923165402 [1,0.6875,1,0.782609,0.8,0.76,0.6,0.703704,1,0.52381]
precision
0.8473032179378928 [1,0.842105,0.909091,0.941176,0.809524,0.904762,0.619048,0.909091,0.95,0.588235]
precision
0.8646902220586432 [1,0.75,0.947368,0.95,1,0.863636,0.7,0.769231,1,0.666667]
precision
0.8390650199473728 [1,0.8,0.909091,0.904762,0.882353,0.85,0.6,0.833333,1,0.611111]
precision
0.8463684463684463 [1,1,0.909091,0.909091,1,0.904762,0.5,0.740741,1,0.5]
precision
0.8113634085213033 [1,0.789474,0.76,1,1,0.952381,0.473684,0.833333,0.904762,0.4]
predictive_accuracy
0.79
predictive_accuracy
0.815
predictive_accuracy
0.84
predictive_accuracy
0.835
predictive_accuracy
0.785
predictive_accuracy
0.85
predictive_accuracy
0.86
predictive_accuracy
0.84
predictive_accuracy
0.835
predictive_accuracy
0.805
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
0.79 [0.95,0.85,0.95,0.9,0.8,0.95,0.2,0.9,1,0.4]
recall
0.815 [1,0.8,0.95,0.9,0.6,0.9,0.5,0.85,0.95,0.7]
recall
0.84 [1,0.75,0.95,0.8,0.9,0.9,0.45,0.85,1,0.8]
recall
0.835 [1,0.7,0.95,0.95,0.9,0.85,0.65,0.85,0.95,0.55]
recall
0.785 [1,0.55,0.9,0.9,0.6,0.95,0.45,0.95,1,0.55]
recall
0.85 [1,0.8,1,0.8,0.85,0.95,0.65,1,0.95,0.5]
recall
0.86 [1,0.75,0.9,0.95,0.75,0.95,0.7,1,1,0.6]
recall
0.84 [1,0.8,1,0.95,0.75,0.85,0.6,1,0.9,0.55]
recall
0.835 [1,0.7,1,1,0.7,0.95,0.45,1,1,0.55]
recall
0.805 [1,0.75,0.95,0.85,0.7,1,0.45,1,0.95,0.4]
relative_absolute_error
0.48586149882486124
relative_absolute_error
0.4682444816513336
relative_absolute_error
0.4892177434365368
relative_absolute_error
0.47094426355708585
relative_absolute_error
0.4810396437048331
relative_absolute_error
0.461246325139956
relative_absolute_error
0.46946708298664597
relative_absolute_error
0.4711663178722671
relative_absolute_error
0.4618725164630611
relative_absolute_error
0.4824282686962908
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
0.18039721200825345
root_mean_squared_error
0.1781487149626427
root_mean_squared_error
0.18049376718915064
root_mean_squared_error
0.17479546757217593
root_mean_squared_error
0.1811131451334241
root_mean_squared_error
0.17195413922432728
root_mean_squared_error
0.1759285224559562
root_mean_squared_error
0.17503068249688775
root_mean_squared_error
0.1713812661190742
root_mean_squared_error
0.18204419608045883
root_relative_squared_error
0.6013240400275118
root_relative_squared_error
0.593829049875476
root_relative_squared_error
0.6016458906305024
root_relative_squared_error
0.5826515585739201
root_relative_squared_error
0.6037104837780807
root_relative_squared_error
0.5731804640810912
root_relative_squared_error
0.586428408186521
root_relative_squared_error
0.5834356083229595
root_relative_squared_error
0.571270887063581
root_relative_squared_error
0.6068139869348631
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
41356.57291299867
usercpu_time_millis
41241.394746997685
usercpu_time_millis
41052.17151899706
usercpu_time_millis
41408.5003049986
usercpu_time_millis
41146.50563399482
usercpu_time_millis
41185.776325000916
usercpu_time_millis
41300.02849399898
usercpu_time_millis
41203.01983200625
usercpu_time_millis
41347.45699900668
usercpu_time_millis
41206.62614799949
usercpu_time_millis_testing
88.57549700042
usercpu_time_millis_testing
92.25551399867982
usercpu_time_millis_testing
92.18082499864977
usercpu_time_millis_testing
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usercpu_time_millis_testing
125.5317679970176
usercpu_time_millis_testing
90.72713500063401
usercpu_time_millis_testing
92.33181300078286
usercpu_time_millis_testing
89.49239100184059
usercpu_time_millis_testing
92.3634110004059
usercpu_time_millis_testing
91.28529000008712
usercpu_time_millis_training
41267.99741599825
usercpu_time_millis_training
41149.139232999005
usercpu_time_millis_training
40959.99069399841
usercpu_time_millis_training
41319.120373998885
usercpu_time_millis_training
41020.9738659978
usercpu_time_millis_training
41095.04919000028
usercpu_time_millis_training
41207.6966809982
usercpu_time_millis_training
41113.52744100441
usercpu_time_millis_training
41255.093588006275
usercpu_time_millis_training
41115.3408579994