1883262
2702
OpenML_Bot R
3485
Supervised Classification
5969
mlr.classif.svm(8)
49374
cost
0.00395388833228846
5969
kernel
linear
5969
openml.seed
1
5969
openml.kind
Mersenne-Twister
5969
openml.normal.kind
Inversion
5969
botV1
mlrRandomBot
sciBenchV1.0
312
scene
https://www.openml.org/data/download/1390080/phpuZu33P
-1
4715941
description
https://api.openml.org/data/download/4715941/description24a045e97f89.xml
-1
4715942
predictions
https://api.openml.org/data/download/4715942/predictions24a06db37d10.arff
area_under_roc_curve
0.9338265684736562 [0.933827,0.933827]
average_cost
0
f_measure
0.9029922266362669 [0.944472,0.712821]
kappa
0.6580232928374715
kb_relative_information_score
1174.5563468834507
mean_absolute_error
0.14217148966061133
mean_prior_absolute_error
0.29416743712946186
number_of_instances
2407 [1976,431]
precision
0.9025402000367543 [0.925656,0.796562]
predictive_accuracy
0.9069380972164519
prior_entropy
0.6786037019780878
recall
0.906938097216452 [0.964069,0.645012]
relative_absolute_error
0.48330124859483425
root_mean_prior_squared_error
0.3834035412052162
root_mean_squared_error
0.26140577545283084
root_relative_squared_error
0.681803236952665
scimark_benchmark
640.522474340216 [ 561.752219001689, 670.945337047497, 207.126123456746, 780.88769734883, 981.900994846318 ]
total_cost
0
usercpu_time_millis
332.210000000003
usercpu_time_millis_testing
6.02000000000044
usercpu_time_millis_training
326.190000000002
area_under_roc_curve
0.9292929292929293 [0.929293,0.929293]
area_under_roc_curve
0.8979328165374677 [0.897933,0.897933]
area_under_roc_curve
0.9114399812074231 [0.91144,0.91144]
area_under_roc_curve
0.9414493774958891 [0.941449,0.941449]
area_under_roc_curve
0.9392764857881137 [0.939276,0.939276]
area_under_roc_curve
0.9272962179938925 [0.927296,0.927296]
area_under_roc_curve
0.9576026765113059 [0.957603,0.957603]
area_under_roc_curve
0.9626962578208004 [0.962696,0.962696]
area_under_roc_curve
0.9402667925864715 [0.940267,0.940267]
area_under_roc_curve
0.9289340101522843 [0.928934,0.928934]
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
0.8957860054878269 [0.937028,0.705882]
f_measure
0.9145197250263206 [0.950249,0.75]
f_measure
0.8888756425342169 [0.935323,0.675]
f_measure
0.9052485552683701 [0.948905,0.704225]
f_measure
0.9115041328856315 [0.95098,0.72973]
f_measure
0.9000473017070528 [0.94321,0.701299]
f_measure
0.8926886206439743 [0.937656,0.691358]
f_measure
0.9122155636616294 [0.950495,0.736842]
f_measure
0.9018093072186638 [0.942356,0.716049]
f_measure
0.9072716049382716 [0.948148,0.72]
kappa
0.6429206424465123
kappa
0.7005839234687538
kappa
0.6107591005093802
kappa
0.6557845337686186
kappa
0.6822257383966244
kappa
0.6454295400754815
kappa
0.6295727021211192
kappa
0.6883521620568757
kappa
0.6586693049715558
kappa
0.6694648478488981
kb_relative_information_score
114.72990853035668
kb_relative_information_score
112.15500018688289
kb_relative_information_score
104.85556821548991
kb_relative_information_score
120.5456138919391
kb_relative_information_score
132.13711566849597
kb_relative_information_score
111.39406973163233
kb_relative_information_score
113.69528546461007
kb_relative_information_score
131.7679785777004
kb_relative_information_score
114.5813402263972
kb_relative_information_score
118.69446638994377
mean_absolute_error
0.14654529712779701
mean_absolute_error
0.1478434178839484
mean_absolute_error
0.1510594921387428
mean_absolute_error
0.1380838665205771
mean_absolute_error
0.12790831533174293
mean_absolute_error
0.14548171362037954
mean_absolute_error
0.14861186489663794
mean_absolute_error
0.1272472401541086
mean_absolute_error
0.1430452370565233
mean_absolute_error
0.14584539545942257
mean_prior_absolute_error
0.293758364638829
mean_prior_absolute_error
0.293758364638829
mean_prior_absolute_error
0.293758364638829
mean_prior_absolute_error
0.293758364638829
mean_prior_absolute_error
0.293758364638829
mean_prior_absolute_error
0.293758364638829
mean_prior_absolute_error
0.29641954703058604
mean_prior_absolute_error
0.2942351598173521
mean_prior_absolute_error
0.2942351598173521
mean_prior_absolute_error
0.2942351598173521
number_of_instances
241 [198,43]
number_of_instances
241 [198,43]
number_of_instances
241 [198,43]
number_of_instances
241 [198,43]
number_of_instances
241 [198,43]
number_of_instances
241 [198,43]
number_of_instances
241 [197,44]
number_of_instances
240 [197,43]
number_of_instances
240 [197,43]
number_of_instances
240 [197,43]
precision
0.8953510885786372 [0.934673,0.714286]
precision
0.9138888705644869 [0.936275,0.810811]
precision
0.8873401104301764 [0.921569,0.72973]
precision
0.9114542023927799 [0.915493,0.892857]
precision
0.9143813220643631 [0.92381,0.870968]
precision
0.8997622862964417 [0.922705,0.794118]
precision
0.8914784933823253 [0.921569,0.756757]
precision
0.9133728590250331 [0.927536,0.848485]
precision
0.90067635052979 [0.930693,0.763158]
precision
0.9088641826923077 [0.923077,0.84375]
predictive_accuracy
0.896265560165975
predictive_accuracy
0.91701244813278
predictive_accuracy
0.892116182572614
predictive_accuracy
0.9128630705394191
predictive_accuracy
0.91701244813278
predictive_accuracy
0.9045643153526971
predictive_accuracy
0.896265560165975
predictive_accuracy
0.9166666666666667
predictive_accuracy
0.9041666666666667
predictive_accuracy
0.9125
prior_entropy
0.6786037019780878
prior_entropy
0.6786037019780878
prior_entropy
0.6786037019780878
prior_entropy
0.6786037019780878
prior_entropy
0.6786037019780878
prior_entropy
0.6786037019780878
prior_entropy
0.6786037019780878
prior_entropy
0.6786037019780878
prior_entropy
0.6786037019780878
prior_entropy
0.6786037019780878
recall
0.8962655601659751 [0.939394,0.697674]
recall
0.91701244813278 [0.964646,0.697674]
recall
0.8921161825726142 [0.949495,0.627907]
recall
0.9128630705394191 [0.984848,0.581395]
recall
0.91701244813278 [0.979798,0.627907]
recall
0.9045643153526971 [0.964646,0.627907]
recall
0.8962655601659751 [0.954315,0.636364]
recall
0.9166666666666666 [0.974619,0.651163]
recall
0.9041666666666667 [0.954315,0.674419]
recall
0.9125 [0.974619,0.627907]
relative_absolute_error
0.4988634019254976
relative_absolute_error
0.5032824105816336
relative_absolute_error
0.5142304367212417
relative_absolute_error
0.4700593519791306
relative_absolute_error
0.4354201640828307
relative_absolute_error
0.4952427952111147
relative_absolute_error
0.5013564941495017
relative_absolute_error
0.4324678268671152
relative_absolute_error
0.4861595641571841
relative_absolute_error
0.49567630037809496
root_mean_prior_squared_error
0.3828696944367244
root_mean_prior_squared_error
0.3828696944367244
root_mean_prior_squared_error
0.3828696944367244
root_mean_prior_squared_error
0.3828696944367244
root_mean_prior_squared_error
0.3828696944367244
root_mean_prior_squared_error
0.3828696944367244
root_mean_prior_squared_error
0.3863293741224291
root_mean_prior_squared_error
0.38349184880071946
root_mean_prior_squared_error
0.38349184880071946
root_mean_prior_squared_error
0.38349184880071946
root_mean_squared_error
0.2720215950670051
root_mean_squared_error
0.27602930501319844
root_mean_squared_error
0.27765897096762265
root_mean_squared_error
0.25288047398103025
root_mean_squared_error
0.24193961414577034
root_mean_squared_error
0.26734030276445003
root_mean_squared_error
0.25780351585307953
root_mean_squared_error
0.24638985121887205
root_mean_squared_error
0.25864745423253727
root_mean_squared_error
0.2607394567216833
root_relative_squared_error
0.7104808738315045
root_relative_squared_error
0.7209484297765877
root_relative_squared_error
0.7252048804126764
root_relative_squared_error
0.6604870473048708
root_relative_squared_error
0.6319111114336443
root_relative_squared_error
0.698254018662301
root_relative_squared_error
0.6673153353629816
root_relative_squared_error
0.6424904518554915
root_relative_squared_error
0.6744535901907598
root_relative_squared_error
0.6799087321857938
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