8916826
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)
6853832
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
"gini"
7684
max_depth
null
7684
max_features
0.19612163952016404
7684
max_leaf_nodes
null
7684
min_impurity_decrease
0.0
7684
min_impurity_split
null
7684
min_samples_leaf
11
7684
min_samples_split
7
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
18749282
description
https://api.openml.org/data/download/18749282/description.xml
-1
18749283
predictions
https://api.openml.org/data/download/18749283/predictions.arff
area_under_roc_curve
0.9827644444444444 [1,0.976767,0.997106,0.993725,0.978706,0.993811,0.947967,0.992786,0.998856,0.947922]
average_cost
0
f_measure
0.8251445726075964 [0.992519,0.779747,0.947631,0.905,0.808399,0.903704,0.520408,0.882075,0.964286,0.547677]
kappa
0.8061111111111111
kb_relative_information_score
1513.7569139310615
mean_absolute_error
0.07180391114392827
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8259910224974748 [0.99005,0.789744,0.945274,0.905,0.850829,0.892683,0.53125,0.834821,0.984375,0.535885]
predictive_accuracy
0.8255
prior_entropy
3.321928094887362
recall
0.8255 [0.995,0.77,0.95,0.905,0.77,0.915,0.51,0.935,0.945,0.56]
relative_absolute_error
0.3989106174662559
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.16482304382674526
root_relative_squared_error
0.5494101460891424
total_cost
0
area_under_roc_curve
0.9804722222222222 [1,0.979167,0.993889,0.995833,0.966667,1,0.921111,0.993611,0.999444,0.955]
area_under_roc_curve
0.9810555555555556 [1,0.975833,0.996667,0.988333,0.9675,0.991944,0.950556,0.989722,0.998056,0.951944]
area_under_roc_curve
0.9798055555555556 [1,0.981111,1,0.986667,0.986667,0.993056,0.910833,0.992222,1,0.9475]
area_under_roc_curve
0.9878055555555555 [1,0.983889,0.995556,0.996111,0.990278,0.994722,0.976667,0.994722,0.998611,0.9475]
area_under_roc_curve
0.9838055555555556 [1,0.97,0.998611,0.992222,0.993056,0.995,0.956389,0.993611,1,0.939167]
area_under_roc_curve
0.9849999999999999 [1,0.974167,1,0.995278,0.994722,0.994444,0.947778,0.993889,0.999444,0.950278]
area_under_roc_curve
0.9835277777777778 [1,0.975556,0.9975,0.996944,0.98,0.981667,0.974444,0.989444,1,0.939722]
area_under_roc_curve
0.9852777777777777 [1,0.970556,0.997778,0.996667,0.971944,0.996944,0.958611,0.995,0.997778,0.9675]
area_under_roc_curve
0.9827777777777778 [1,0.978889,1,0.9975,0.981944,0.988056,0.947778,0.996667,1,0.936944]
area_under_roc_curve
0.9790000000000001 [1,0.983611,0.990833,0.997778,0.955833,0.999722,0.930833,0.993611,0.996111,0.941667]
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
0.8051273213556404 [0.974359,0.790698,0.926829,0.947368,0.829268,1,0.333333,0.871795,0.923077,0.454545]
f_measure
0.8018710524382674 [0.97561,0.810811,0.926829,0.9,0.685714,0.818182,0.514286,0.790698,0.974359,0.622222]
f_measure
0.8136149041027089 [1,0.761905,0.974359,0.780488,0.820513,0.9,0.432432,0.871795,0.97561,0.619048]
f_measure
0.8552200388400645 [1,0.789474,0.974359,0.926829,0.8,0.9,0.7,0.871795,0.974359,0.615385]
f_measure
0.8115002427016155 [1,0.666667,0.947368,0.9,0.789474,0.909091,0.55,0.826087,1,0.526316]
f_measure
0.8578947533633028 [1,0.857143,1,0.894737,0.85,0.9,0.634146,0.952381,0.95,0.540541]
f_measure
0.8283569913268622 [1,0.8,0.923077,0.926829,0.823529,0.857143,0.564103,0.888889,1,0.5]
f_measure
0.8355392556419514 [1,0.731707,0.95,0.904762,0.810811,0.894737,0.585366,0.909091,0.918919,0.65]
f_measure
0.8453158061552842 [1,0.8,0.97561,0.952381,0.864865,0.923077,0.461538,0.930233,1,0.545455]
f_measure
0.7943206568280456 [0.97561,0.780488,0.883721,0.918919,0.8,0.947368,0.409091,0.909091,0.918919,0.4]
kappa
0.7833333333333334
kappa
0.7833333333333334
kappa
0.7944444444444444
kappa
0.8388888888888889
kappa
0.7944444444444444
kappa
0.8444444444444444
kappa
0.8111111111111111
kappa
0.8166666666666667
kappa
0.8277777777777777
kappa
0.7666666666666667
kb_relative_information_score
150.05882344588608
kb_relative_information_score
150.9292186265502
kb_relative_information_score
149.2722839814424
kb_relative_information_score
152.75681103210385
kb_relative_information_score
149.87359845453008
kb_relative_information_score
154.19322018202314
kb_relative_information_score
151.83028341359787
kb_relative_information_score
152.52541625114424
kb_relative_information_score
154.42366189329658
kb_relative_information_score
147.89359665048786
mean_absolute_error
0.07393093450277793
mean_absolute_error
0.07180262988996727
mean_absolute_error
0.07366706579455981
mean_absolute_error
0.07051036621388587
mean_absolute_error
0.07329149771886184
mean_absolute_error
0.06917978908914448
mean_absolute_error
0.07172011053426278
mean_absolute_error
0.0712063781679878
mean_absolute_error
0.06884796107500174
mean_absolute_error
0.07388237845283373
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
0.8087188078892885 [1,0.73913,0.904762,1,0.809524,1,0.375,0.894737,0.947368,0.416667]
precision
0.8088626233101937 [0.952381,0.882353,0.904762,0.9,0.8,0.75,0.6,0.73913,1,0.56]
precision
0.8139897873024807 [1,0.727273,1,0.761905,0.842105,0.9,0.470588,0.894737,0.952381,0.590909]
precision
0.8584411027568922 [1,0.833333,1,0.904762,0.72,0.9,0.7,0.894737,1,0.631579]
precision
0.8152991452991454 [1,0.75,1,0.9,0.833333,0.833333,0.55,0.730769,1,0.555556]
precision
0.8579000084882438 [1,0.818182,1,0.944444,0.85,0.9,0.619048,0.909091,0.95,0.588235]
precision
0.8349259512417407 [1,0.8,0.947368,0.904762,1,0.818182,0.578947,0.8,1,0.5]
precision
0.8409481368304899 [1,0.714286,0.95,0.863636,0.882353,0.944444,0.571429,0.833333,1,0.65]
precision
0.8526599514363683 [1,0.933333,0.952381,0.909091,0.941176,0.947368,0.473684,0.869565,1,0.5]
precision
0.8082039337474121 [0.952381,0.761905,0.826087,1,0.933333,1,0.375,0.833333,1,0.4]
predictive_accuracy
0.805
predictive_accuracy
0.805
predictive_accuracy
0.815
predictive_accuracy
0.855
predictive_accuracy
0.815
predictive_accuracy
0.86
predictive_accuracy
0.83
predictive_accuracy
0.835
predictive_accuracy
0.845
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
0.805 [0.95,0.85,0.95,0.9,0.85,1,0.3,0.85,0.9,0.5]
recall
0.805 [1,0.75,0.95,0.9,0.6,0.9,0.45,0.85,0.95,0.7]
recall
0.815 [1,0.8,0.95,0.8,0.8,0.9,0.4,0.85,1,0.65]
recall
0.855 [1,0.75,0.95,0.95,0.9,0.9,0.7,0.85,0.95,0.6]
recall
0.815 [1,0.6,0.9,0.9,0.75,1,0.55,0.95,1,0.5]
recall
0.86 [1,0.9,1,0.85,0.85,0.9,0.65,1,0.95,0.5]
recall
0.83 [1,0.8,0.9,0.95,0.7,0.9,0.55,1,1,0.5]
recall
0.835 [1,0.75,0.95,0.95,0.75,0.85,0.6,1,0.85,0.65]
recall
0.845 [1,0.7,1,1,0.8,0.9,0.45,1,1,0.6]
recall
0.79 [1,0.8,0.95,0.85,0.7,0.9,0.45,1,0.85,0.4]
relative_absolute_error
0.41072741390432227
relative_absolute_error
0.3989034993887075
relative_absolute_error
0.40926147663644385
relative_absolute_error
0.3917242567438109
relative_absolute_error
0.4071749873270107
relative_absolute_error
0.38433216160635864
relative_absolute_error
0.39844505852368256
relative_absolute_error
0.3955909898221549
relative_absolute_error
0.38248867263889896
relative_absolute_error
0.4104576580712989
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
0.1681392548981056
root_mean_squared_error
0.16873536050927523
root_mean_squared_error
0.16895884707233944
root_mean_squared_error
0.16043242436125368
root_mean_squared_error
0.1678771158134216
root_mean_squared_error
0.15788955553144615
root_mean_squared_error
0.16417245061735447
root_mean_squared_error
0.1628635745246839
root_mean_squared_error
0.1576214349604525
root_mean_squared_error
0.1708940609892437
root_relative_squared_error
0.5604641829936857
root_relative_squared_error
0.5624512016975844
root_relative_squared_error
0.5631961569077985
root_relative_squared_error
0.5347747478708459
root_relative_squared_error
0.559590386044739
root_relative_squared_error
0.5262985184381541
root_relative_squared_error
0.5472415020578485
root_relative_squared_error
0.5428785817489467
root_relative_squared_error
0.5254047832015086
root_relative_squared_error
0.569646869964146
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
32363.293064998288
usercpu_time_millis
31542.67452700151
usercpu_time_millis
31268.526061998273
usercpu_time_millis
31143.91124400572
usercpu_time_millis
30860.28136600362
usercpu_time_millis
32508.5810160017
usercpu_time_millis
31606.694100999448
usercpu_time_millis
32129.44856899412
usercpu_time_millis
33313.01975699898
usercpu_time_millis
30257.97459900059
usercpu_time_millis_testing
190.51935699826572
usercpu_time_millis_testing
231.848996001645
usercpu_time_millis_testing
189.52174500009278
usercpu_time_millis_testing
188.0053620043327
usercpu_time_millis_testing
222.8560910007218
usercpu_time_millis_testing
211.19580999948084
usercpu_time_millis_testing
192.97923900012393
usercpu_time_millis_testing
290.01128799427534
usercpu_time_millis_testing
214.30292000150075
usercpu_time_millis_testing
217.30163400206948
usercpu_time_millis_training
32172.773708000022
usercpu_time_millis_training
31310.825530999864
usercpu_time_millis_training
31079.00431699818
usercpu_time_millis_training
30955.90588200139
usercpu_time_millis_training
30637.425275002897
usercpu_time_millis_training
32297.38520600222
usercpu_time_millis_training
31413.714861999324
usercpu_time_millis_training
31839.437280999846
usercpu_time_millis_training
33098.71683699748
usercpu_time_millis_training
30040.67296499852