8913963
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)
6851069
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
0.4791798073571508
7684
max_leaf_nodes
null
7684
min_impurity_decrease
0.0
7684
min_impurity_split
null
7684
min_samples_leaf
18
7684
min_samples_split
4
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
18743584
description
https://api.openml.org/data/download/18743584/description.xml
-1
18743585
predictions
https://api.openml.org/data/download/18743585/predictions.arff
area_under_roc_curve
0.9794083333333333 [0.999939,0.969019,0.995136,0.986608,0.971642,0.990325,0.946025,0.991367,0.997419,0.946603]
average_cost
0
f_measure
0.8031408452590718 [0.985075,0.746114,0.923457,0.86445,0.748011,0.878049,0.535354,0.863741,0.933002,0.554156]
kappa
0.7833333333333334
kb_relative_information_score
1499.5849503800582
mean_absolute_error
0.07264225714059394
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8033031913430133 [0.980198,0.774194,0.912195,0.884817,0.79661,0.857143,0.540816,0.802575,0.926108,0.558376]
predictive_accuracy
0.805
prior_entropy
3.321928094887362
recall
0.805 [0.99,0.72,0.935,0.845,0.705,0.9,0.53,0.935,0.94,0.55]
relative_absolute_error
0.40356809522550946
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.17002227209045956
root_relative_squared_error
0.5667409069681898
total_cost
0
area_under_roc_curve
0.9766666666666667 [1,0.967222,0.992222,0.993889,0.954167,1,0.922222,0.992222,0.993056,0.951667]
area_under_roc_curve
0.9792222222222223 [1,0.976944,0.994722,0.983889,0.957222,0.987222,0.953611,0.988333,0.998333,0.951944]
area_under_roc_curve
0.9755555555555557 [1,0.966111,0.999722,0.964167,0.968333,0.990278,0.931944,0.99,1,0.945]
area_under_roc_curve
0.9839444444444445 [0.999722,0.976667,0.993611,0.9925,0.986667,0.993611,0.968333,0.995,0.999444,0.933889]
area_under_roc_curve
0.98025 [1,0.963889,0.997222,0.990833,0.977778,0.991111,0.953611,0.991111,0.999722,0.937222]
area_under_roc_curve
0.9815277777777779 [1,0.963611,0.999444,0.986389,0.990556,0.987222,0.946944,0.991111,0.998056,0.951944]
area_under_roc_curve
0.9825833333333333 [0.999722,0.975278,0.994167,0.991944,0.985833,0.979444,0.975833,0.986944,1,0.936667]
area_under_roc_curve
0.9815833333333334 [1,0.960278,0.998056,0.983611,0.974444,0.993611,0.953889,0.993333,0.990833,0.967778]
area_under_roc_curve
0.9808333333333334 [1,0.9725,0.999722,0.9975,0.980833,0.981944,0.936389,0.994167,1,0.945278]
area_under_roc_curve
0.9757222222222223 [1,0.975,0.989444,0.980278,0.946389,0.998611,0.923333,0.994167,0.996389,0.953611]
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
0.7776056610010397 [0.97561,0.761905,0.9,0.894737,0.75,0.974359,0.324324,0.878049,0.878049,0.439024]
f_measure
0.7728603135182829 [1,0.810811,0.864865,0.8,0.611111,0.837209,0.5,0.8,0.926829,0.577778]
f_measure
0.7707900328632036 [1,0.666667,0.974359,0.756757,0.666667,0.809524,0.487805,0.820513,0.97561,0.55]
f_measure
0.8282159265786483 [0.95,0.777778,0.926829,0.883721,0.73913,0.871795,0.7,0.871795,0.95,0.611111]
f_measure
0.7661331304083879 [1,0.685714,0.923077,0.878049,0.685714,0.863636,0.486486,0.808511,0.909091,0.421053]
f_measure
0.8361966969976643 [1,0.731707,0.952381,0.833333,0.789474,0.904762,0.666667,0.930233,0.904762,0.648649]
f_measure
0.8392583732057416 [0.974359,0.769231,0.9,0.923077,0.888889,0.863636,0.65,0.844444,1,0.578947]
f_measure
0.820069210184743 [1,0.731707,0.952381,0.842105,0.702703,0.789474,0.636364,0.909091,0.918919,0.717949]
f_measure
0.8264924726921963 [0.97561,0.764706,0.97561,0.930233,0.8,0.923077,0.486486,0.851064,1,0.55814]
f_measure
0.7949606058000839 [0.97561,0.769231,0.863636,0.888889,0.857143,0.95,0.4,0.930233,0.864865,0.45]
kappa
0.7555555555555555
kappa
0.75
kappa
0.7444444444444445
kappa
0.8111111111111111
kappa
0.75
kappa
0.8222222222222222
kappa
0.8222222222222222
kappa
0.7999999999999999
kappa
0.8111111111111111
kappa
0.7666666666666667
kb_relative_information_score
149.7117456353641
kb_relative_information_score
148.7736727913494
kb_relative_information_score
147.01903889980312
kb_relative_information_score
151.098525733166
kb_relative_information_score
149.17455834708778
kb_relative_information_score
152.1153380782873
kb_relative_information_score
150.79452669712666
kb_relative_information_score
150.0703441688934
kb_relative_information_score
152.92182289184223
kb_relative_information_score
147.9053771371398
mean_absolute_error
0.0735729777382015
mean_absolute_error
0.07335307892786419
mean_absolute_error
0.07562262239736461
mean_absolute_error
0.07172090805240303
mean_absolute_error
0.07271892212778451
mean_absolute_error
0.07038092917223794
mean_absolute_error
0.07231381478211224
mean_absolute_error
0.07259707460216813
mean_absolute_error
0.07013553028210226
mean_absolute_error
0.07400671332370108
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
0.7769896443425856 [0.952381,0.727273,0.9,0.944444,0.75,1,0.352941,0.857143,0.857143,0.428571]
precision
0.7800900012178785 [1,0.882353,0.941176,0.8,0.6875,0.782609,0.5625,0.72,0.904762,0.52]
precision
0.7737507538900726 [1,0.636364,1,0.823529,0.684211,0.772727,0.47619,0.842105,0.952381,0.55]
precision
0.8336668699340325 [0.95,0.875,0.904762,0.826087,0.653846,0.894737,0.7,0.894737,0.95,0.6875]
precision
0.7707071191049518 [1,0.8,0.947368,0.857143,0.8,0.791667,0.529412,0.703704,0.833333,0.444444]
precision
0.8381140780630955 [1,0.714286,0.909091,0.9375,0.833333,0.863636,0.684211,0.869565,0.863636,0.705882]
precision
0.8449619883040935 [1,0.789474,0.9,0.947368,1,0.791667,0.65,0.76,1,0.611111]
precision
0.8263813499881612 [1,0.714286,0.909091,0.888889,0.764706,0.833333,0.583333,0.833333,1,0.736842]
precision
0.8375491940992009 [0.952381,0.928571,0.952381,0.869565,0.933333,0.947368,0.529412,0.740741,1,0.521739]
precision
0.8104262991237684 [0.952381,0.789474,0.791667,1,1,0.95,0.36,0.869565,0.941176,0.45]
predictive_accuracy
0.78
predictive_accuracy
0.775
predictive_accuracy
0.77
predictive_accuracy
0.83
predictive_accuracy
0.775
predictive_accuracy
0.84
predictive_accuracy
0.84
predictive_accuracy
0.82
predictive_accuracy
0.83
predictive_accuracy
0.79
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
0.78 [1,0.8,0.9,0.85,0.75,0.95,0.3,0.9,0.9,0.45]
recall
0.775 [1,0.75,0.8,0.8,0.55,0.9,0.45,0.9,0.95,0.65]
recall
0.77 [1,0.7,0.95,0.7,0.65,0.85,0.5,0.8,1,0.55]
recall
0.83 [0.95,0.7,0.95,0.95,0.85,0.85,0.7,0.85,0.95,0.55]
recall
0.775 [1,0.6,0.9,0.9,0.6,0.95,0.45,0.95,1,0.4]
recall
0.84 [1,0.75,1,0.75,0.75,0.95,0.65,1,0.95,0.6]
recall
0.84 [0.95,0.75,0.9,0.9,0.8,0.95,0.65,0.95,1,0.55]
recall
0.82 [1,0.75,1,0.8,0.65,0.75,0.7,1,0.85,0.7]
recall
0.83 [1,0.65,1,1,0.7,0.9,0.45,1,1,0.6]
recall
0.79 [1,0.75,0.95,0.8,0.75,0.95,0.45,1,0.8,0.45]
relative_absolute_error
0.408738765212231
relative_absolute_error
0.40751710515480155
relative_absolute_error
0.42012567998535943
relative_absolute_error
0.39844948918001727
relative_absolute_error
0.4039940118210255
relative_absolute_error
0.391005162067989
relative_absolute_error
0.4017434154561796
relative_absolute_error
0.40331708112315673
relative_absolute_error
0.38964183490056853
relative_absolute_error
0.41114840735389535
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
0.17189633308270516
root_mean_squared_error
0.1746606057156963
root_mean_squared_error
0.17503994233517114
root_mean_squared_error
0.1666393773620903
root_mean_squared_error
0.17173411306215453
root_mean_squared_error
0.16446666173566127
root_mean_squared_error
0.16847668661641743
root_mean_squared_error
0.16984629549854338
root_mean_squared_error
0.16345665730653033
root_mean_squared_error
0.17355478902662497
root_relative_squared_error
0.5729877769423508
root_relative_squared_error
0.5822020190523214
root_relative_squared_error
0.5834664744505709
root_relative_squared_error
0.5554645912069681
root_relative_squared_error
0.5724470435405155
root_relative_squared_error
0.5482222057855378
root_relative_squared_error
0.5615889553880585
root_relative_squared_error
0.5661543183284783
root_relative_squared_error
0.5448555243551013
root_relative_squared_error
0.5785159634220836
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
77986.1350559986
usercpu_time_millis
79137.10847200127
usercpu_time_millis
80124.16448799922
usercpu_time_millis
79533.24809299738
usercpu_time_millis
79547.25106299884
usercpu_time_millis
79715.13265300018
usercpu_time_millis
76889.01088100101
usercpu_time_millis
79468.42122300222
usercpu_time_millis
78296.7788370006
usercpu_time_millis
79158.16745800112
usercpu_time_millis_testing
87.9217649999191
usercpu_time_millis_testing
86.74142000018037
usercpu_time_millis_testing
86.87898399875849
usercpu_time_millis_testing
93.997212999966
usercpu_time_millis_testing
89.88466799928574
usercpu_time_millis_testing
63.44838899894967
usercpu_time_millis_testing
88.74565299993264
usercpu_time_millis_testing
87.27875200202106
usercpu_time_millis_testing
87.73447400017176
usercpu_time_millis_testing
86.05192599861766
usercpu_time_millis_training
77898.21329099868
usercpu_time_millis_training
79050.3670520011
usercpu_time_millis_training
80037.28550400047
usercpu_time_millis_training
79439.25087999742
usercpu_time_millis_training
79457.36639499955
usercpu_time_millis_training
79651.68426400123
usercpu_time_millis_training
76800.26522800108
usercpu_time_millis_training
79381.1424710002
usercpu_time_millis_training
78209.04436300043
usercpu_time_millis_training
79072.1155320025