10438174
10792
George Volkov
14
Supervised Classification
17487
sklearn.linear_model._logistic.LogisticRegression(1)
8261074
C
100
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
8505
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
21800765
description
https://api.openml.org/data/download/21800765/description.xml
-1
21800766
predictions
https://api.openml.org/data/download/21800766/predictions.arff
area_under_roc_curve
0.9800511111111111 [0.999997,0.964836,0.995272,0.986433,0.966194,0.992617,0.955917,0.993278,0.997958,0.948008]
average_cost
0
f_measure
0.833810361516838 [0.997506,0.762626,0.937028,0.884422,0.788177,0.926209,0.617284,0.866828,0.977215,0.580808]
kappa
0.8150000000000001
kb_relative_information_score
0.8387679374456495
mean_absolute_error
0.042238485333632336
mean_prior_absolute_error
0.18000000000000554
weighted_recall
0.8335 [1,0.755,0.93,0.88,0.8,0.91,0.625,0.895,0.965,0.575]
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8344798542834249 [0.995025,0.770408,0.944162,0.888889,0.776699,0.943005,0.609756,0.840376,0.989744,0.586735]
predictive_accuracy
0.8334999999999999
prior_entropy
3.3219280948872383
relative_absolute_error
0.23465825185350575
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.1540720035405804
root_relative_squared_error
0.5135733451352601
total_cost
0
unweighted_recall
0.8334999999999999 [1,0.755,0.93,0.88,0.8,0.91,0.625,0.895,0.965,0.575]
area_under_roc_curve
0.9831666666666667 [1,0.981667,0.999167,0.990556,0.978333,1,0.946944,0.993611,1,0.941389]
area_under_roc_curve
0.9796111111111112 [1,0.947778,0.999444,0.99,0.956389,0.983333,0.959167,0.993611,1,0.966389]
area_under_roc_curve
0.9749444444444444 [1,0.973611,0.998611,0.955,0.979167,0.991944,0.911944,0.993889,1,0.945278]
area_under_roc_curve
0.992861111111111 [1,0.982778,0.993333,0.999444,0.99,0.996111,0.993889,0.996389,0.996944,0.979722]
area_under_roc_curve
0.9762222222222223 [1,0.956667,0.9975,0.963611,0.968333,0.991667,0.959722,0.995,1,0.929722]
area_under_roc_curve
0.9822222222222224 [1,0.970556,0.998333,0.985833,0.951111,0.998333,0.968611,0.993333,1,0.956111]
area_under_roc_curve
0.9835277777777778 [1,0.973889,0.986667,0.998056,0.980556,0.995833,0.958611,0.994167,1,0.9475]
area_under_roc_curve
0.98 [1,0.941944,0.996111,0.996944,0.959722,0.989444,0.961944,0.992222,0.998333,0.963333]
area_under_roc_curve
0.9786944444444445 [1,0.947778,0.999722,0.9975,0.982222,0.986111,0.9525,0.994167,1,0.926944]
area_under_roc_curve
0.9751666666666665 [1,0.974444,0.984167,0.994167,0.934444,0.998333,0.953056,0.989722,0.985,0.938333]
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
0.8220974522291057 [1,0.837209,0.926829,0.864865,0.857143,1,0.545455,0.789474,1,0.4]
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
0.8022342441044722 [1,0.744186,0.923077,0.810811,0.782609,0.9,0.604651,0.810811,0.97561,0.470588]
f_measure
0.8898104298104298 [1,0.756757,0.974359,0.952381,0.844444,0.923077,0.8,0.9,0.974359,0.772727]
f_measure
0.7956658531883178 [0.97561,0.714286,0.947368,0.761905,0.7,0.842105,0.615385,0.85,1,0.55]
f_measure
0.8517080070917727 [1,0.722222,0.926829,0.829268,0.842105,0.930233,0.711111,0.952381,0.974359,0.628571]
f_measure
0.8293652329852587 [1,0.789474,0.918919,0.926829,0.8,0.923077,0.590909,0.844444,1,0.5]
f_measure
0.8551539517890236 [1,0.769231,0.95,0.97561,0.789474,0.947368,0.697674,0.883721,0.923077,0.615385]
f_measure
0.8380894731578376 [1,0.702703,0.97561,0.95,0.761905,0.947368,0.540541,0.883721,1,0.619048]
f_measure
0.8176298303899283 [1,0.790698,0.883721,0.888889,0.722222,0.947368,0.555556,0.857143,0.947368,0.583333]
kappa
0.8055555555555555
kappa
0.8055555555555555
kappa
0.7833333333333334
kappa
0.8777777777777778
kappa
0.7722222222222223
kappa
0.8388888888888889
kappa
0.8111111111111111
kappa
0.8388888888888889
kappa
0.8222222222222222
kappa
0.7944444444444444
kb_relative_information_score
0.8486629042743122
kb_relative_information_score
0.8407451398959589
kb_relative_information_score
0.811197951315425
kb_relative_information_score
0.8794517086772431
kb_relative_information_score
0.8023752746849447
kb_relative_information_score
0.8406581180809032
kb_relative_information_score
0.8352826263096964
kb_relative_information_score
0.8531465157757375
kb_relative_information_score
0.853888230950092
kb_relative_information_score
0.8222709044918752
mean_absolute_error
0.04100141585213511
mean_absolute_error
0.04281050379510667
mean_absolute_error
0.046630085724612476
mean_absolute_error
0.03565971704422912
mean_absolute_error
0.04788037668394691
mean_absolute_error
0.04172270989708851
mean_absolute_error
0.04241201130822981
mean_absolute_error
0.0403190897540335
mean_absolute_error
0.03940465098858081
mean_absolute_error
0.04454429228835962
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
0.8246728889184132 [1,0.782609,0.904762,0.941176,0.818182,1,0.5,0.833333,1,0.466667]
precision
0.8297570011986489 [1,0.833333,1,0.857143,0.789474,0.9,0.526316,0.826087,1,0.565217]
precision
0.8089061084740179 [1,0.695652,0.947368,0.882353,0.692308,0.9,0.565217,0.882353,0.952381,0.571429]
precision
0.8981655408574913 [1,0.823529,1,0.909091,0.76,0.947368,0.933333,0.9,1,0.708333]
precision
0.7981939697729171 [0.952381,0.681818,1,0.727273,0.7,0.888889,0.631579,0.85,1,0.55]
precision
0.8567664062990148 [1,0.8125,0.904762,0.809524,0.888889,0.869565,0.64,0.909091,1,0.733333]
precision
0.8349630325814537 [1,0.833333,1,0.904762,0.8,0.947368,0.541667,0.76,1,0.5625]
precision
0.8582396207911082 [1,0.789474,0.95,0.952381,0.833333,1,0.652174,0.826087,0.947368,0.631579]
precision
0.8399590903555098 [1,0.764706,0.952381,0.95,0.727273,1,0.588235,0.826087,1,0.590909]
precision
0.8320899209486166 [1,0.73913,0.826087,1,0.8125,1,0.625,0.818182,1,0.5]
predictive_accuracy
0.825
predictive_accuracy
0.825
predictive_accuracy
0.805
predictive_accuracy
0.89
predictive_accuracy
0.795
predictive_accuracy
0.855
predictive_accuracy
0.83
predictive_accuracy
0.855
predictive_accuracy
0.84
predictive_accuracy
0.815
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
0.2277856436229731
relative_absolute_error
0.23783613219503733
relative_absolute_error
0.2590560318034029
relative_absolute_error
0.19810953913460647
relative_absolute_error
0.2660020926885942
relative_absolute_error
0.2317928327616031
relative_absolute_error
0.23562228504572144
relative_absolute_error
0.22399494307796414
relative_absolute_error
0.21891472771433804
relative_absolute_error
0.24746829049088706
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
0.14886222011781267
root_mean_squared_error
0.15391774888863635
root_mean_squared_error
0.16528800337546543
root_mean_squared_error
0.12923170410078466
root_mean_squared_error
0.17253991397566676
root_mean_squared_error
0.1527817242649809
root_mean_squared_error
0.15658956021104928
root_mean_squared_error
0.1481459296675037
root_mean_squared_error
0.14597709030671904
root_mean_squared_error
0.1631598492933551
root_relative_squared_error
0.4962074003927091
root_relative_squared_error
0.5130591629621215
root_relative_squared_error
0.5509600112515518
root_relative_squared_error
0.4307723470026158
root_relative_squared_error
0.5751330465855562
root_relative_squared_error
0.5092724142166033
root_relative_squared_error
0.521965200703498
root_relative_squared_error
0.493819765558346
root_relative_squared_error
0.4865903010223971
root_relative_squared_error
0.543866164311184
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
0.825 [1,0.9,0.95,0.8,0.9,1,0.6,0.75,1,0.35]
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
0.805 [1,0.8,0.9,0.75,0.9,0.9,0.65,0.75,1,0.4]
unweighted_recall
0.89 [1,0.7,0.95,1,0.95,0.9,0.7,0.9,0.95,0.85]
unweighted_recall
0.7949999999999999 [1,0.75,0.9,0.8,0.7,0.8,0.6,0.85,1,0.55]
unweighted_recall
0.8550000000000001 [1,0.65,0.95,0.85,0.8,1,0.8,1,0.95,0.55]
unweighted_recall
0.8300000000000001 [1,0.75,0.85,0.95,0.8,0.9,0.65,0.95,1,0.45]
unweighted_recall
0.8550000000000001 [1,0.75,0.95,1,0.75,0.9,0.75,0.95,0.9,0.6]
unweighted_recall
0.8400000000000001 [1,0.65,1,0.95,0.8,0.9,0.5,0.95,1,0.65]
unweighted_recall
0.8150000000000001 [1,0.85,0.95,0.8,0.65,0.9,0.5,0.9,0.9,0.7]
usercpu_time_millis
5125
usercpu_time_millis
5500
usercpu_time_millis
5625
usercpu_time_millis
5500
usercpu_time_millis
5250
usercpu_time_millis
5375
usercpu_time_millis
5625
usercpu_time_millis
5375
usercpu_time_millis
5375
usercpu_time_millis
5500
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
5125
usercpu_time_millis_training
5500
usercpu_time_millis_training
5625
usercpu_time_millis_training
5500
usercpu_time_millis_training
5250
usercpu_time_millis_training
5375
usercpu_time_millis_training
5625
usercpu_time_millis_training
5375
usercpu_time_millis_training
5375
usercpu_time_millis_training
5500
wall_clock_time_millis
641.1359310150146
wall_clock_time_millis
696.1581707000732
wall_clock_time_millis
694.1568851470947
wall_clock_time_millis
681.1561584472656
wall_clock_time_millis
664.1504764556885
wall_clock_time_millis
663.1503105163574
wall_clock_time_millis
709.160327911377
wall_clock_time_millis
671.151876449585
wall_clock_time_millis
667.1512126922607
wall_clock_time_millis
700.1585960388184
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
1.0001659393310547
wall_clock_time_millis_testing
0
wall_clock_time_millis_testing
0
wall_clock_time_millis_testing
1.0004043579101562
wall_clock_time_millis_testing
0
wall_clock_time_millis_training
641.1359310150146
wall_clock_time_millis_training
696.1581707000732
wall_clock_time_millis_training
694.1568851470947
wall_clock_time_millis_training
681.1561584472656
wall_clock_time_millis_training
664.1504764556885
wall_clock_time_millis_training
662.1501445770264
wall_clock_time_millis_training
709.160327911377
wall_clock_time_millis_training
671.151876449585
wall_clock_time_millis_training
666.1508083343506
wall_clock_time_millis_training
700.1585960388184
weighted_recall
0.825 [1,0.9,0.95,0.8,0.9,1,0.6,0.75,1,0.35]
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
0.805 [1,0.8,0.9,0.75,0.9,0.9,0.65,0.75,1,0.4]
weighted_recall
0.89 [1,0.7,0.95,1,0.95,0.9,0.7,0.9,0.95,0.85]
weighted_recall
0.795 [1,0.75,0.9,0.8,0.7,0.8,0.6,0.85,1,0.55]
weighted_recall
0.855 [1,0.65,0.95,0.85,0.8,1,0.8,1,0.95,0.55]
weighted_recall
0.83 [1,0.75,0.85,0.95,0.8,0.9,0.65,0.95,1,0.45]
weighted_recall
0.855 [1,0.75,0.95,1,0.75,0.9,0.75,0.95,0.9,0.6]
weighted_recall
0.84 [1,0.65,1,0.95,0.8,0.9,0.5,0.95,1,0.65]
weighted_recall
0.815 [1,0.85,0.95,0.8,0.65,0.9,0.5,0.9,0.9,0.7]