8912775
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)
6849959
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
true
7684
class_weight
null
7684
criterion
"entropy"
7684
max_depth
null
7684
max_features
0.7726413691329292
7684
max_leaf_nodes
null
7684
min_impurity_decrease
0.0
7684
min_impurity_split
null
7684
min_samples_leaf
8
7684
min_samples_split
8
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
18741216
description
https://api.openml.org/data/download/18741216/description.xml
-1
18741217
predictions
https://api.openml.org/data/download/18741217/predictions.arff
area_under_roc_curve
0.9812388888888889 [0.999867,0.972428,0.994525,0.988253,0.97765,0.990639,0.9472,0.991503,0.998275,0.95205]
average_cost
0
f_measure
0.8081408238115956 [0.975124,0.74813,0.927681,0.872063,0.774359,0.878412,0.530612,0.87703,0.939394,0.558603]
kappa
0.7877777777777778
kb_relative_information_score
1572.7045416612912
mean_absolute_error
0.061745340902463836
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8087207158163428 [0.970297,0.746269,0.925373,0.912568,0.794737,0.871921,0.541667,0.818182,0.94898,0.557214]
predictive_accuracy
0.809
prior_entropy
3.321928094887362
recall
0.809 [0.98,0.75,0.93,0.835,0.755,0.885,0.52,0.945,0.93,0.56]
relative_absolute_error
0.34302967168034404
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.16118674002080374
root_relative_squared_error
0.5372891334026709
total_cost
0
area_under_roc_curve
0.9796666666666667 [1,0.975,0.992222,0.995556,0.965556,1,0.926944,0.993611,0.997222,0.950556]
area_under_roc_curve
0.9814166666666666 [1,0.981944,0.992222,0.985,0.968889,0.986111,0.956667,0.992222,0.998611,0.9525]
area_under_roc_curve
0.9772777777777779 [1,0.973611,0.998611,0.975278,0.98,0.991944,0.917778,0.9875,1,0.948056]
area_under_roc_curve
0.9863055555555555 [0.999167,0.971667,0.994722,0.995278,0.988333,0.993611,0.974722,0.9975,0.999444,0.948611]
area_under_roc_curve
0.9823333333333334 [1,0.968056,0.9975,0.995,0.988611,0.9925,0.958333,0.989444,0.999444,0.934444]
area_under_roc_curve
0.9825 [1,0.966389,0.999444,0.9875,0.988611,0.985556,0.9475,0.9925,0.999444,0.958056]
area_under_roc_curve
0.9854722222222223 [1,0.979444,0.991944,0.9975,0.990278,0.985833,0.975833,0.988056,1,0.945833]
area_under_roc_curve
0.9840277777777777 [0.999722,0.971389,0.998889,0.983889,0.973333,0.994444,0.956944,0.993889,0.991389,0.976389]
area_under_roc_curve
0.9818333333333333 [1,0.973056,0.999444,0.9975,0.983333,0.976667,0.940278,0.994167,1,0.953889]
area_under_roc_curve
0.9766944444444445 [1,0.97,0.988056,0.98,0.964722,0.9975,0.920278,0.993611,0.996389,0.956389]
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
0.7994510484754386 [1,0.755556,0.9,0.888889,0.809524,0.974359,0.378378,0.9,0.9,0.487805]
f_measure
0.8136725946610416 [1,0.871795,0.894737,0.842105,0.702703,0.857143,0.555556,0.863636,0.926829,0.622222]
f_measure
0.8010121409275065 [1,0.714286,0.947368,0.8,0.772727,0.85,0.473684,0.871795,0.97561,0.604651]
f_measure
0.825813589887143 [0.95,0.789474,0.95,0.926829,0.765957,0.864865,0.619048,0.85,0.947368,0.594595]
f_measure
0.7689602978466907 [0.97561,0.631579,0.947368,0.904762,0.685714,0.829268,0.486486,0.791667,0.97561,0.461538]
f_measure
0.8217467265968625 [1,0.711111,0.95,0.789474,0.777778,0.883721,0.631579,0.952381,0.926829,0.594595]
f_measure
0.834012595591543 [0.974359,0.769231,0.9,0.923077,0.888889,0.844444,0.631579,0.844444,1,0.564103]
f_measure
0.8146903652230995 [0.95,0.731707,0.97561,0.842105,0.702703,0.842105,0.619048,0.888889,0.894737,0.7]
f_measure
0.8368243409706824 [0.95,0.787879,0.952381,0.926829,0.85,0.9,0.514286,0.909091,1,0.577778]
f_measure
0.762345833965126 [0.952381,0.731707,0.863636,0.857143,0.777778,0.947368,0.408163,0.909091,0.833333,0.342857]
kappa
0.7777777777777778
kappa
0.7944444444444444
kappa
0.7777777777777778
kappa
0.8055555555555555
kappa
0.75
kappa
0.8055555555555555
kappa
0.8166666666666667
kappa
0.7944444444444444
kappa
0.8222222222222222
kappa
0.7333333333333334
kb_relative_information_score
157.94122275784656
kb_relative_information_score
155.45126085395907
kb_relative_information_score
154.0322489946702
kb_relative_information_score
158.59097170678868
kb_relative_information_score
156.55308533249266
kb_relative_information_score
159.16880341083348
kb_relative_information_score
158.82857289671472
kb_relative_information_score
156.77285988093683
kb_relative_information_score
160.9003792339792
kb_relative_information_score
154.465136593071
mean_absolute_error
0.061244975089773765
mean_absolute_error
0.06344357743141582
mean_absolute_error
0.06522649901929206
mean_absolute_error
0.06044059529704386
mean_absolute_error
0.06213428539646191
mean_absolute_error
0.059875919700671174
mean_absolute_error
0.060637130473843455
mean_absolute_error
0.062222899499926314
mean_absolute_error
0.058241116041976675
mean_absolute_error
0.0639864110742338
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
0.8040682454800101 [1,0.68,0.9,1,0.772727,1,0.411765,0.9,0.9,0.47619]
precision
0.8192386447401927 [1,0.894737,0.944444,0.888889,0.764706,0.818182,0.625,0.791667,0.904762,0.56]
precision
0.8085820034275412 [1,0.681818,1,0.933333,0.708333,0.85,0.5,0.894737,0.952381,0.565217]
precision
0.8333906289788642 [0.95,0.833333,0.95,0.904762,0.666667,0.941176,0.590909,0.85,1,0.647059]
precision
0.7726256148392372 [0.952381,0.666667,1,0.863636,0.8,0.809524,0.529412,0.678571,0.952381,0.473684]
precision
0.8251998593903964 [1,0.64,0.95,0.833333,0.875,0.826087,0.666667,0.909091,0.904762,0.647059]
precision
0.8402456140350876 [1,0.789474,0.9,0.947368,1,0.76,0.666667,0.76,1,0.578947]
precision
0.8194503862150921 [0.95,0.714286,0.952381,0.888889,0.764706,0.888889,0.590909,0.8,0.944444,0.7]
precision
0.8467186147186148 [0.95,1,0.909091,0.904762,0.85,0.9,0.6,0.833333,1,0.52]
precision
0.780570420958352 [0.909091,0.714286,0.791667,1,0.875,1,0.344828,0.833333,0.9375,0.4]
predictive_accuracy
0.8
predictive_accuracy
0.815
predictive_accuracy
0.8
predictive_accuracy
0.825
predictive_accuracy
0.775
predictive_accuracy
0.825
predictive_accuracy
0.835
predictive_accuracy
0.815
predictive_accuracy
0.84
predictive_accuracy
0.76
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
0.8 [1,0.85,0.9,0.8,0.85,0.95,0.35,0.9,0.9,0.5]
recall
0.815 [1,0.85,0.85,0.8,0.65,0.9,0.5,0.95,0.95,0.7]
recall
0.8 [1,0.75,0.9,0.7,0.85,0.85,0.45,0.85,1,0.65]
recall
0.825 [0.95,0.75,0.95,0.95,0.9,0.8,0.65,0.85,0.9,0.55]
recall
0.775 [1,0.6,0.9,0.95,0.6,0.85,0.45,0.95,1,0.45]
recall
0.825 [1,0.8,0.95,0.75,0.7,0.95,0.6,1,0.95,0.55]
recall
0.835 [0.95,0.75,0.9,0.9,0.8,0.95,0.6,0.95,1,0.55]
recall
0.815 [0.95,0.75,1,0.8,0.65,0.8,0.65,1,0.85,0.7]
recall
0.84 [0.95,0.65,1,0.95,0.85,0.9,0.45,1,1,0.65]
recall
0.76 [1,0.75,0.95,0.75,0.7,0.9,0.5,1,0.75,0.3]
relative_absolute_error
0.34024986160985465
relative_absolute_error
0.3524643190634217
relative_absolute_error
0.36236943899606744
relative_absolute_error
0.33578108498357734
relative_absolute_error
0.3451904744247888
relative_absolute_error
0.33264399833706243
relative_absolute_error
0.33687294707690846
relative_absolute_error
0.345682774999591
relative_absolute_error
0.3235617557887596
relative_absolute_error
0.3554800615235216
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
0.16168680495947532
root_mean_squared_error
0.1671371533244253
root_mean_squared_error
0.16790385636409563
root_mean_squared_error
0.15660347460000645
root_mean_squared_error
0.16328016156359754
root_mean_squared_error
0.15549777135727907
root_mean_squared_error
0.15703641799293694
root_mean_squared_error
0.16119822267208692
root_mean_squared_error
0.1530716999501637
root_mean_squared_error
0.1676354093727686
root_relative_squared_error
0.5389560165315848
root_relative_squared_error
0.5571238444147513
root_relative_squared_error
0.5596795212136524
root_relative_squared_error
0.5220115820000218
root_relative_squared_error
0.5442672052119921
root_relative_squared_error
0.5183259045242639
root_relative_squared_error
0.5234547266431234
root_relative_squared_error
0.5373274089069566
root_relative_squared_error
0.5102389998338793
root_relative_squared_error
0.558784697909229
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
140362.8250590009
usercpu_time_millis
140676.68029499962
usercpu_time_millis
140138.52856999985
usercpu_time_millis
141152.73367400008
usercpu_time_millis
140183.83215900214
usercpu_time_millis
140861.21310099954
usercpu_time_millis
141380.02557399886
usercpu_time_millis
140532.62121899935
usercpu_time_millis
140973.47836599874
usercpu_time_millis
139637.59729100275
usercpu_time_millis_testing
87.12744800050132
usercpu_time_millis_testing
87.98685900001146
usercpu_time_millis_testing
88.44566399966425
usercpu_time_millis_testing
88.1215079989488
usercpu_time_millis_testing
85.89448100065056
usercpu_time_millis_testing
85.56525799940573
usercpu_time_millis_testing
88.15522899931238
usercpu_time_millis_testing
88.5789769999974
usercpu_time_millis_testing
86.31036999940989
usercpu_time_millis_testing
86.01301900125691
usercpu_time_millis_training
140275.6976110004
usercpu_time_millis_training
140588.69343599962
usercpu_time_millis_training
140050.08290600017
usercpu_time_millis_training
141064.6121660011
usercpu_time_millis_training
140097.93767800147
usercpu_time_millis_training
140775.64784300013
usercpu_time_millis_training
141291.87034499954
usercpu_time_millis_training
140444.04224199936
usercpu_time_millis_training
140887.16799599933
usercpu_time_millis_training
139551.5842720015