10438176
10792
George Volkov
14
Supervised Classification
17487
sklearn.linear_model._logistic.LogisticRegression(1)
8261076
C
50
17487
class_weight
null
17487
dual
false
17487
fit_intercept
true
17487
intercept_scaling
1
17487
l1_ratio
null
17487
max_iter
10000
17487
multi_class
"auto"
17487
n_jobs
null
17487
penalty
"l2"
17487
random_state
50620
17487
solver
"lbfgs"
17487
tol
0.0001
17487
verbose
0
17487
warm_start
false
17487
openml-python
Sklearn_0.22.1.
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
21800769
description
https://api.openml.org/data/download/21800769/description.xml
-1
21800770
predictions
https://api.openml.org/data/download/21800770/predictions.arff
area_under_roc_curve
0.9809016666666667 [0.999997,0.966308,0.995925,0.988456,0.968764,0.993625,0.955656,0.993508,0.998478,0.9483]
average_cost
0
f_measure
0.8349032096010576 [0.997506,0.768844,0.941772,0.886076,0.792079,0.923858,0.60199,0.877108,0.979798,0.58]
kappa
0.8161111111111111
kb_relative_information_score
0.8383927131722879
mean_absolute_error
0.04376656542185239
mean_prior_absolute_error
0.18000000000000554
weighted_recall
0.8345 [1,0.765,0.93,0.875,0.8,0.91,0.605,0.91,0.97,0.58]
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8356809702282739 [0.995025,0.772727,0.953846,0.897436,0.784314,0.938144,0.59901,0.846512,0.989796,0.58]
predictive_accuracy
0.8345
prior_entropy
3.3219280948872383
relative_absolute_error
0.2431475856769502
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.15171200157962714
root_relative_squared_error
0.5057066719320827
total_cost
0
unweighted_recall
0.8344999999999999 [1,0.765,0.93,0.875,0.8,0.91,0.605,0.91,0.97,0.58]
area_under_roc_curve
0.9835 [1,0.983333,0.999167,0.992778,0.976389,1,0.945556,0.993056,1,0.944722]
area_under_roc_curve
0.9802777777777778 [1,0.953889,0.999444,0.990833,0.954167,0.985,0.960278,0.992778,1,0.966389]
area_under_roc_curve
0.9757777777777776 [1,0.972222,0.999167,0.958611,0.981944,0.992222,0.909722,0.994167,1,0.949722]
area_under_roc_curve
0.9926944444444444 [1,0.980833,0.994722,1,0.991111,0.9975,0.99,0.996389,0.9975,0.978889]
area_under_roc_curve
0.9783055555555557 [1,0.958333,0.998333,0.971667,0.973333,0.995,0.961111,0.995,1,0.930278]
area_under_roc_curve
0.9828055555555555 [1,0.971389,0.999444,0.988333,0.956389,0.998611,0.968056,0.992222,1,0.953611]
area_under_roc_curve
0.9839999999999999 [1,0.976667,0.988889,0.998056,0.978889,0.995,0.96,0.994167,1,0.948333]
area_under_roc_curve
0.9817222222222222 [1,0.945278,0.996111,0.996944,0.966667,0.992222,0.962778,0.993056,0.998333,0.965833]
area_under_roc_curve
0.9789166666666667 [1,0.948333,0.999722,0.997222,0.985833,0.985833,0.9525,0.995,1,0.924722]
area_under_roc_curve
0.9765555555555556 [1,0.976667,0.986111,0.995278,0.938889,0.999167,0.953611,0.99,0.988889,0.936944]
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
0.8329630965478952 [1,0.837209,0.926829,0.864865,0.857143,1,0.536585,0.820513,1,0.486486]
f_measure
0.8259673235184475 [1,0.789474,0.947368,0.878049,0.769231,0.9,0.512821,0.883721,0.974359,0.604651]
f_measure
0.8073695887248453 [1,0.761905,0.947368,0.810811,0.782609,0.878049,0.604651,0.842105,0.97561,0.470588]
f_measure
0.8906084060032111 [1,0.789474,0.974359,0.97561,0.851064,0.918919,0.777778,0.871795,0.974359,0.772727]
f_measure
0.7957374674961324 [0.97561,0.682927,0.947368,0.780488,0.717949,0.871795,0.615385,0.829268,1,0.536585]
f_measure
0.8316880621758669 [1,0.722222,0.926829,0.829268,0.810811,0.909091,0.636364,0.952381,0.974359,0.555556]
f_measure
0.8247804089267504 [1,0.756757,0.918919,0.926829,0.8,0.923077,0.577778,0.844444,1,0.5]
f_measure
0.8646467132095695 [1,0.8,0.95,0.97561,0.789474,0.947368,0.697674,0.904762,0.95,0.631579]
f_measure
0.8378680180314656 [1,0.736842,0.97561,0.95,0.780488,0.947368,0.5,0.883721,1,0.604651]
f_measure
0.8268620193895592 [1,0.8,0.904762,0.857143,0.742857,0.947368,0.555556,0.930233,0.947368,0.583333]
kappa
0.8166666666666667
kappa
0.8055555555555555
kappa
0.788888888888889
kappa
0.8777777777777778
kappa
0.7722222222222223
kappa
0.8166666666666667
kappa
0.8055555555555555
kappa
0.85
kappa
0.8222222222222222
kappa
0.8055555555555555
kb_relative_information_score
0.8467624131331865
kb_relative_information_score
0.8371774057384029
kb_relative_information_score
0.8149218096315716
kb_relative_information_score
0.874577278739851
kb_relative_information_score
0.8083897376086858
kb_relative_information_score
0.8405589285500155
kb_relative_information_score
0.8355937678131418
kb_relative_information_score
0.8512590990098363
kb_relative_information_score
0.8526957942299301
kb_relative_information_score
0.8219908972679637
mean_absolute_error
0.04270717926080562
mean_absolute_error
0.04498660786370743
mean_absolute_error
0.04794455808141275
mean_absolute_error
0.03786386577393737
mean_absolute_error
0.04823664357755557
mean_absolute_error
0.04326080824925748
mean_absolute_error
0.04380266214422766
mean_absolute_error
0.04177943723344223
mean_absolute_error
0.04097687266057151
mean_absolute_error
0.046107019373606686
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
0.8342055440857433 [1,0.782609,0.904762,0.941176,0.818182,1,0.52381,0.842105,1,0.529412]
precision
0.8297570011986489 [1,0.833333,1,0.857143,0.789474,0.9,0.526316,0.826087,1,0.565217]
precision
0.8136992021902506 [1,0.727273,1,0.882353,0.692308,0.857143,0.565217,0.888889,0.952381,0.571429]
precision
0.9004525201893623 [1,0.833333,1,0.952381,0.740741,1,0.875,0.894737,1,0.708333]
precision
0.7977443609022556 [0.952381,0.666667,1,0.761905,0.736842,0.894737,0.631579,0.809524,1,0.52381]
precision
0.8359896231219761 [1,0.8125,0.904762,0.809524,0.882353,0.833333,0.583333,0.909091,1,0.625]
precision
0.8318159737579243 [1,0.823529,1,0.904762,0.8,0.947368,0.52,0.76,1,0.5625]
precision
0.8668191229060795 [1,0.8,0.95,0.952381,0.833333,1,0.652174,0.863636,0.95,0.666667]
precision
0.839586783988958 [1,0.777778,0.952381,0.95,0.761905,1,0.5625,0.826087,1,0.565217]
precision
0.8444868247694335 [1,0.72,0.863636,1,0.866667,1,0.625,0.869565,1,0.5]
predictive_accuracy
0.835
predictive_accuracy
0.825
predictive_accuracy
0.81
predictive_accuracy
0.89
predictive_accuracy
0.795
predictive_accuracy
0.835
predictive_accuracy
0.825
predictive_accuracy
0.865
predictive_accuracy
0.84
predictive_accuracy
0.825
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
relative_absolute_error
0.23726210700447592
relative_absolute_error
0.24992559924281932
relative_absolute_error
0.2663586560078489
relative_absolute_error
0.21035480985520785
relative_absolute_error
0.26798135320864236
relative_absolute_error
0.24033782360698627
relative_absolute_error
0.24334812302348724
relative_absolute_error
0.2321079846302349
relative_absolute_error
0.2276492925587309
relative_absolute_error
0.25615010763114854
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
0.14700040777005396
root_mean_squared_error
0.15334691286510757
root_mean_squared_error
0.1613848033007874
root_mean_squared_error
0.12953278400501694
root_mean_squared_error
0.16801211693712845
root_mean_squared_error
0.1500257865128786
root_mean_squared_error
0.15391232046745587
root_mean_squared_error
0.14602405560045595
root_mean_squared_error
0.14388377931185922
root_mean_squared_error
0.1605202310718923
root_relative_squared_error
0.4900013592335135
root_relative_squared_error
0.5111563762170256
root_relative_squared_error
0.5379493443359583
root_relative_squared_error
0.43177594668339014
root_relative_squared_error
0.5600403897904285
root_relative_squared_error
0.500085955042929
root_relative_squared_error
0.5130410682248532
root_relative_squared_error
0.4867468520015201
root_relative_squared_error
0.4796125977061977
root_relative_squared_error
0.5350674369063081
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
unweighted_recall
0.835 [1,0.9,0.95,0.8,0.9,1,0.55,0.8,1,0.45]
unweighted_recall
0.825 [1,0.75,0.9,0.9,0.75,0.9,0.5,0.95,0.95,0.65]
unweighted_recall
0.8100000000000002 [1,0.8,0.9,0.75,0.9,0.9,0.65,0.8,1,0.4]
unweighted_recall
0.8899999999999999 [1,0.75,0.95,1,1,0.85,0.7,0.85,0.95,0.85]
unweighted_recall
0.7949999999999999 [1,0.7,0.9,0.8,0.7,0.85,0.6,0.85,1,0.55]
unweighted_recall
0.835 [1,0.65,0.95,0.85,0.75,1,0.7,1,0.95,0.5]
unweighted_recall
0.825 [1,0.7,0.85,0.95,0.8,0.9,0.65,0.95,1,0.45]
unweighted_recall
0.865 [1,0.8,0.95,1,0.75,0.9,0.75,0.95,0.95,0.6]
unweighted_recall
0.8400000000000001 [1,0.7,1,0.95,0.8,0.9,0.45,0.95,1,0.65]
unweighted_recall
0.825 [1,0.9,0.95,0.75,0.65,0.9,0.5,1,0.9,0.7]
usercpu_time_millis
4265.625
usercpu_time_millis
4000
usercpu_time_millis
4125
usercpu_time_millis
4125
usercpu_time_millis
4250
usercpu_time_millis
4375
usercpu_time_millis
4125
usercpu_time_millis
4250
usercpu_time_millis
4375
usercpu_time_millis
4875
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
4265.625
usercpu_time_millis_training
4000
usercpu_time_millis_training
4125
usercpu_time_millis_training
4125
usercpu_time_millis_training
4250
usercpu_time_millis_training
4375
usercpu_time_millis_training
4125
usercpu_time_millis_training
4250
usercpu_time_millis_training
4375
usercpu_time_millis_training
4875
wall_clock_time_millis
543.1127548217773
wall_clock_time_millis
498.11267852783203
wall_clock_time_millis
527.1191596984863
wall_clock_time_millis
516.1168575286865
wall_clock_time_millis
534.121036529541
wall_clock_time_millis
538.1219387054443
wall_clock_time_millis
522.118330001831
wall_clock_time_millis
530.1206111907959
wall_clock_time_millis
558.1254959106445
wall_clock_time_millis
601.1364459991455
wall_clock_time_millis_testing
0
wall_clock_time_millis_testing
1.0004043579101562
wall_clock_time_millis_testing
1.0001659393310547
wall_clock_time_millis_testing
0
wall_clock_time_millis_testing
0
wall_clock_time_millis_testing
0
wall_clock_time_millis_testing
0
wall_clock_time_millis_testing
0
wall_clock_time_millis_testing
0
wall_clock_time_millis_testing
0
wall_clock_time_millis_training
543.1127548217773
wall_clock_time_millis_training
497.1122741699219
wall_clock_time_millis_training
526.1189937591553
wall_clock_time_millis_training
516.1168575286865
wall_clock_time_millis_training
534.121036529541
wall_clock_time_millis_training
538.1219387054443
wall_clock_time_millis_training
522.118330001831
wall_clock_time_millis_training
530.1206111907959
wall_clock_time_millis_training
558.1254959106445
wall_clock_time_millis_training
601.1364459991455
weighted_recall
0.835 [1,0.9,0.95,0.8,0.9,1,0.55,0.8,1,0.45]
weighted_recall
0.825 [1,0.75,0.9,0.9,0.75,0.9,0.5,0.95,0.95,0.65]
weighted_recall
0.81 [1,0.8,0.9,0.75,0.9,0.9,0.65,0.8,1,0.4]
weighted_recall
0.89 [1,0.75,0.95,1,1,0.85,0.7,0.85,0.95,0.85]
weighted_recall
0.795 [1,0.7,0.9,0.8,0.7,0.85,0.6,0.85,1,0.55]
weighted_recall
0.835 [1,0.65,0.95,0.85,0.75,1,0.7,1,0.95,0.5]
weighted_recall
0.825 [1,0.7,0.85,0.95,0.8,0.9,0.65,0.95,1,0.45]
weighted_recall
0.865 [1,0.8,0.95,1,0.75,0.9,0.75,0.95,0.95,0.6]
weighted_recall
0.84 [1,0.7,1,0.95,0.8,0.9,0.45,0.95,1,0.65]
weighted_recall
0.825 [1,0.9,0.95,0.75,0.65,0.9,0.5,1,0.9,0.7]