1882426
2702
OpenML_Bot R
3485
Supervised Classification
5969
mlr.classif.svm(8)
49337
cost
56.1697065260723
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
4714269
description
https://api.openml.org/data/download/4714269/description19f033e7648.xml
-1
4714270
predictions
https://api.openml.org/data/download/4714270/predictions19f013d75a.arff
area_under_roc_curve
0.9566890857341462 [0.956689,0.956689]
average_cost
0
f_measure
0.9411219288936628 [0.964806,0.832536]
kappa
0.797383506639842
kb_relative_information_score
1637.1006816299614
mean_absolute_error
0.08703152801828362
mean_prior_absolute_error
0.29416743712946186
number_of_instances
2407 [1976,431]
precision
0.9407638815200093 [0.958541,0.859259]
predictive_accuracy
0.9418363107602825
prior_entropy
0.6786037019780878
recall
0.9418363107602825 [0.971154,0.807425]
relative_absolute_error
0.2958571107242622
root_mean_prior_squared_error
0.3834035412052162
root_mean_squared_error
0.2151330026887975
root_relative_squared_error
0.561113760223847
scimark_benchmark
653.359073143757 [ 594.695069894123, 678.744278971483, 207.2060640679, 819.199999999814, 966.949952785467 ]
total_cost
0
usercpu_time_millis
247.319999999996
usercpu_time_millis_testing
1.91999999999462
usercpu_time_millis_training
245.400000000001
area_under_roc_curve
0.9568945266619685 [0.956895,0.956895]
area_under_roc_curve
0.9096781771200376 [0.909678,0.909678]
area_under_roc_curve
0.9281183932346723 [0.928118,0.928118]
area_under_roc_curve
0.9612403100775194 [0.96124,0.96124]
area_under_roc_curve
0.9723984026309608 [0.972398,0.972398]
area_under_roc_curve
0.976156918017383 [0.976157,0.976157]
area_under_roc_curve
0.9866174434702354 [0.986617,0.986617]
area_under_roc_curve
0.9609255105654585 [0.960926,0.960926]
area_under_roc_curve
0.962342108369732 [0.962342,0.962342]
area_under_roc_curve
0.972140243182623 [0.97214,0.97214]
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
0.9269480420038951 [0.957816,0.78481]
f_measure
0.941908713692946 [0.964646,0.837209]
f_measure
0.9174303796710437 [0.953086,0.753247]
f_measure
0.9467613394314722 [0.966921,0.853933]
f_measure
0.9407823094828458 [0.965,0.829268]
f_measure
0.9424214021334731 [0.964467,0.840909]
f_measure
0.9413799287870502 [0.964646,0.837209]
f_measure
0.9530392338871869 [0.972431,0.864198]
f_measure
0.945583271283197 [0.967089,0.847059]
f_measure
0.953511527217181 [0.972292,0.86747]
kappa
0.743022015931757
kappa
0.801855766972046
kappa
0.7070939678884409
kappa
0.8208997884868232
kappa
0.7943686006825937
kappa
0.8053985465451609
kappa
0.8018790369935408
kappa
0.8367548849863965
kappa
0.8141529664045746
kappa
0.8398058252427186
kb_relative_information_score
144.26314537993179
kb_relative_information_score
158.7730229863469
kb_relative_information_score
145.48636074945068
kb_relative_information_score
163.3045056630938
kb_relative_information_score
169.14502196421242
kb_relative_information_score
165.54909903280662
kb_relative_information_score
173.74538313105472
kb_relative_information_score
180.47662959768647
kb_relative_information_score
171.047139381316
kb_relative_information_score
165.3103737440584
mean_absolute_error
0.10545011834940005
mean_absolute_error
0.08758082669958919
mean_absolute_error
0.10187302948365613
mean_absolute_error
0.09035852061686367
mean_absolute_error
0.08309689873581143
mean_absolute_error
0.08560507470526697
mean_absolute_error
0.08412389966099447
mean_absolute_error
0.06938634000369305
mean_absolute_error
0.07744392047289604
mean_absolute_error
0.08527636948748281
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
0.927126696578169 [0.941463,0.861111]
precision
0.941908713692946 [0.964646,0.837209]
precision
0.9181957105411169 [0.932367,0.852941]
precision
0.9479038010519157 [0.974359,0.826087]
precision
0.9405203207840732 [0.955446,0.871795]
precision
0.943130004422239 [0.969388,0.822222]
precision
0.9410567955366638 [0.959799,0.857143]
precision
0.9533470123328123 [0.960396,0.921053]
precision
0.9453854016354016 [0.964646,0.857143]
precision
0.9533541666666667 [0.965,0.9]
predictive_accuracy
0.929460580912863
predictive_accuracy
0.9419087136929462
predictive_accuracy
0.921161825726141
predictive_accuracy
0.9460580912863071
predictive_accuracy
0.9419087136929462
predictive_accuracy
0.9419087136929462
predictive_accuracy
0.9419087136929462
predictive_accuracy
0.9541666666666667
predictive_accuracy
0.9458333333333333
predictive_accuracy
0.9541666666666667
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
0.9294605809128631 [0.974747,0.72093]
recall
0.941908713692946 [0.964646,0.837209]
recall
0.921161825726141 [0.974747,0.674419]
recall
0.946058091286307 [0.959596,0.883721]
recall
0.941908713692946 [0.974747,0.790698]
recall
0.941908713692946 [0.959596,0.860465]
recall
0.941908713692946 [0.969543,0.818182]
recall
0.9541666666666667 [0.984772,0.813953]
recall
0.9458333333333333 [0.969543,0.837209]
recall
0.9541666666666667 [0.979695,0.837209]
relative_absolute_error
0.35896890452480973
relative_absolute_error
0.2981390055301688
relative_absolute_error
0.3467919274704137
relative_absolute_error
0.3075947155682119
relative_absolute_error
0.2828750045568155
relative_absolute_error
0.2914132328130196
relative_absolute_error
0.28380010867607913
relative_absolute_error
0.23581933595823476
relative_absolute_error
0.2632041681251477
relative_absolute_error
0.28982385905348135
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
0.25055991987095666
root_mean_squared_error
0.22096785897296584
root_mean_squared_error
0.24606041510539745
root_mean_squared_error
0.21532129350454618
root_mean_squared_error
0.2003353145100692
root_mean_squared_error
0.2045392552202302
root_mean_squared_error
0.1933551594591551
root_mean_squared_error
0.20011773702378413
root_mean_squared_error
0.20894640554353058
root_mean_squared_error
0.20294249290802854
root_relative_squared_error
0.654426097211948
root_relative_squared_error
0.5771359347154713
root_relative_squared_error
0.6426740446704722
root_relative_squared_error
0.5623879263187063
root_relative_squared_error
0.5232467270746024
root_relative_squared_error
0.5342268092572516
root_relative_squared_error
0.500493031104283
root_relative_squared_error
0.5218304838801796
root_relative_squared_error
0.544852273123826
root_relative_squared_error
0.5291963663443784
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