OpenML
Supervised Classification on pc3

Supervised Classification on pc3

Task 3903 Supervised Classification pc3 143201 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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143201 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4603, f_measure: 0.8082, kappa: -0.0864, kb_relative_information_score: -0.3248, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8002, predictive_accuracy: 0.8164, prior_entropy: 0.4765, recall: 0.8164, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4285, root_relative_squared_error: 1.4136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4611, f_measure: 0.8024, kappa: -0.0782, kb_relative_information_score: -0.4218, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8018, predictive_accuracy: 0.8029, prior_entropy: 0.4765, recall: 0.8029, relative_absolute_error: 1.0699, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4439, root_relative_squared_error: 1.4644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4615, f_measure: 0.8028, kappa: -0.0777, kb_relative_information_score: -0.4172, mean_absolute_error: 0.1964, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8019, predictive_accuracy: 0.8036, prior_entropy: 0.4765, recall: 0.8036, relative_absolute_error: 1.0664, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4432, root_relative_squared_error: 1.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4534, f_measure: 0.7991, kappa: -0.0932, kb_relative_information_score: -0.4495, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.7991, predictive_accuracy: 0.7991, prior_entropy: 0.4765, recall: 0.7991, relative_absolute_error: 1.0908, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4482, root_relative_squared_error: 1.4786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4524, f_measure: 0.8003, kappa: -0.097, kb_relative_information_score: -0.4264, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.7984, predictive_accuracy: 0.8023, prior_entropy: 0.4765, recall: 0.8023, relative_absolute_error: 1.0734, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4446, root_relative_squared_error: 1.4668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4534, f_measure: 0.7991, kappa: -0.0932, kb_relative_information_score: -0.4495, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.7991, predictive_accuracy: 0.7991, prior_entropy: 0.4765, recall: 0.7991, relative_absolute_error: 1.0908, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4482, root_relative_squared_error: 1.4786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4825, f_measure: 0.8333, kappa: -0.0504, kb_relative_information_score: 0.0352, mean_absolute_error: 0.1337, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8028, predictive_accuracy: 0.8663, prior_entropy: 0.4765, recall: 0.8663, relative_absolute_error: 0.726, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3657, root_relative_squared_error: 1.2063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4954, f_measure: 0.845, kappa: -0.0156, kb_relative_information_score: 0.2014, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.805, predictive_accuracy: 0.8893, prior_entropy: 0.4765, recall: 0.8893, relative_absolute_error: 0.601, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3327, root_relative_squared_error: 1.0975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5457, f_measure: 0.8674, kappa: 0.1441, kb_relative_information_score: 0.2799, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8719, predictive_accuracy: 0.9002, prior_entropy: 0.4765, recall: 0.9002, relative_absolute_error: 0.5419, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3159, root_relative_squared_error: 1.0422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4825, f_measure: 0.8333, kappa: -0.0504, kb_relative_information_score: 0.0352, mean_absolute_error: 0.1337, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8028, predictive_accuracy: 0.8663, prior_entropy: 0.4765, recall: 0.8663, relative_absolute_error: 0.726, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3657, root_relative_squared_error: 1.2063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4825, f_measure: 0.8333, kappa: -0.0504, kb_relative_information_score: 0.0352, mean_absolute_error: 0.1337, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8028, predictive_accuracy: 0.8663, prior_entropy: 0.4765, recall: 0.8663, relative_absolute_error: 0.726, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3657, root_relative_squared_error: 1.2063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4647, f_measure: 0.806, kappa: -0.0731, kb_relative_information_score: -0.3756, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8028, predictive_accuracy: 0.8093, prior_entropy: 0.4765, recall: 0.8093, relative_absolute_error: 1.0352, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4366, root_relative_squared_error: 1.4404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4825, f_measure: 0.8333, kappa: -0.0504, kb_relative_information_score: 0.0352, mean_absolute_error: 0.1337, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8028, predictive_accuracy: 0.8663, prior_entropy: 0.4765, recall: 0.8663, relative_absolute_error: 0.726, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3657, root_relative_squared_error: 1.2063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4538, f_measure: 0.7995, kappa: -0.0927, kb_relative_information_score: -0.4449, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.7992, predictive_accuracy: 0.7997, prior_entropy: 0.4765, recall: 0.7997, relative_absolute_error: 1.0873, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4475, root_relative_squared_error: 1.4763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4611, f_measure: 0.8024, kappa: -0.0782, kb_relative_information_score: -0.4218, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8018, predictive_accuracy: 0.8029, prior_entropy: 0.4765, recall: 0.8029, relative_absolute_error: 1.0699, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4439, root_relative_squared_error: 1.4644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4597, f_measure: 0.8009, kappa: -0.0802, kb_relative_information_score: -0.4402, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8015, predictive_accuracy: 0.8004, prior_entropy: 0.4765, recall: 0.8004, relative_absolute_error: 1.0838, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4468, root_relative_squared_error: 1.4739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4611, f_measure: 0.8024, kappa: -0.0782, kb_relative_information_score: -0.4218, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8018, predictive_accuracy: 0.8029, prior_entropy: 0.4765, recall: 0.8029, relative_absolute_error: 1.0699, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4439, root_relative_squared_error: 1.4644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4954, f_measure: 0.845, kappa: -0.0156, kb_relative_information_score: 0.2014, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.805, predictive_accuracy: 0.8893, prior_entropy: 0.4765, recall: 0.8893, relative_absolute_error: 0.601, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3327, root_relative_squared_error: 1.0975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.451, f_measure: 0.7989, kappa: -0.0988, kb_relative_information_score: -0.4449, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.7981, predictive_accuracy: 0.7997, prior_entropy: 0.4765, recall: 0.7997, relative_absolute_error: 1.0873, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4475, root_relative_squared_error: 1.4763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4534, f_measure: 0.7991, kappa: -0.0932, kb_relative_information_score: -0.4495, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.7991, predictive_accuracy: 0.7991, prior_entropy: 0.4765, recall: 0.7991, relative_absolute_error: 1.0908, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4482, root_relative_squared_error: 1.4786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5493, f_measure: 0.8716, kappa: 0.1624, kb_relative_information_score: 0.326, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.905, predictive_accuracy: 0.9066, prior_entropy: 0.4765, recall: 0.9066, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3056, root_relative_squared_error: 1.0082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4538, f_measure: 0.7995, kappa: -0.0927, kb_relative_information_score: -0.4449, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.7992, predictive_accuracy: 0.7997, prior_entropy: 0.4765, recall: 0.7997, relative_absolute_error: 1.0873, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4475, root_relative_squared_error: 1.4763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4954, f_measure: 0.845, kappa: -0.0156, kb_relative_information_score: 0.2014, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.805, predictive_accuracy: 0.8893, prior_entropy: 0.4765, recall: 0.8893, relative_absolute_error: 0.601, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3327, root_relative_squared_error: 1.0975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4538, f_measure: 0.7995, kappa: -0.0927, kb_relative_information_score: -0.4449, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.7992, predictive_accuracy: 0.7997, prior_entropy: 0.4765, recall: 0.7997, relative_absolute_error: 1.0873, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4475, root_relative_squared_error: 1.4763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5468, f_measure: 0.8686, kappa: 0.1494, kb_relative_information_score: 0.2937, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8791, predictive_accuracy: 0.9021, prior_entropy: 0.4765, recall: 0.9021, relative_absolute_error: 0.5315, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3129, root_relative_squared_error: 1.0321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4811, f_measure: 0.8226, kappa: -0.0451, kb_relative_information_score: -0.1633, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8074, predictive_accuracy: 0.8388, prior_entropy: 0.4765, recall: 0.8388, relative_absolute_error: 0.8754, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4015, root_relative_squared_error: 1.3246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5475, f_measure: 0.8695, kappa: 0.1531, kb_relative_information_score: 0.303, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8849, predictive_accuracy: 0.9034, prior_entropy: 0.4765, recall: 0.9034, relative_absolute_error: 0.5245, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3108, root_relative_squared_error: 1.0254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, f_measure: 0.835, kappa: -0.0462, kb_relative_information_score: 0.0583, mean_absolute_error: 0.1305, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8031, predictive_accuracy: 0.8695, prior_entropy: 0.4765, recall: 0.8695, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3613, root_relative_squared_error: 1.1918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5368, f_measure: 0.8661, kappa: 0.1235, kb_relative_information_score: 0.3076, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8996, predictive_accuracy: 0.904, prior_entropy: 0.4765, recall: 0.904, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3098, root_relative_squared_error: 1.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4818, f_measure: 0.8327, kappa: -0.0521, kb_relative_information_score: 0.026, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8026, predictive_accuracy: 0.865, prior_entropy: 0.4765, recall: 0.865, relative_absolute_error: 0.733, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3674, root_relative_squared_error: 1.2121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5452, f_measure: 0.862, kappa: 0.1305, kb_relative_information_score: 0.2014, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.851, predictive_accuracy: 0.8893, prior_entropy: 0.4765, recall: 0.8893, relative_absolute_error: 0.601, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3327, root_relative_squared_error: 1.0975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5368, f_measure: 0.8661, kappa: 0.1235, kb_relative_information_score: 0.3076, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8996, predictive_accuracy: 0.904, prior_entropy: 0.4765, recall: 0.904, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3098, root_relative_squared_error: 1.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5968, f_measure: 0.8642, kappa: 0.2185, kb_relative_information_score: 0.0814, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8727, prior_entropy: 0.4765, recall: 0.8727, relative_absolute_error: 0.6913, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3568, root_relative_squared_error: 1.1771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5348, f_measure: 0.8378, kappa: 0.0766, kb_relative_information_score: -0.1125, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8305, predictive_accuracy: 0.8458, prior_entropy: 0.4765, recall: 0.8458, relative_absolute_error: 0.8372, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3927, root_relative_squared_error: 1.2954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs