OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, f_measure: 0.7099, kappa: 0.4147, kb_relative_information_score: 580.4184, mean_absolute_error: 0.4345, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7124, predictive_accuracy: 0.7123, prior_entropy: 0.9948, recall: 0.7123, relative_absolute_error: 0.8753, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4482, root_relative_squared_error: 0.8997, scimark_benchmark: 1853.0716, usercpu_time_millis: 7.05, usercpu_time_millis_testing: 0.74, usercpu_time_millis_training: 6.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.8035, kappa: 0.6037, kb_relative_information_score: 1746.7249, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8036, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.5627, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.376, root_relative_squared_error: 0.7547, scimark_benchmark: 1358.0671, usercpu_time_millis: 30543.024, usercpu_time_millis_testing: 6.509, usercpu_time_millis_training: 30536.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.8046, kappa: 0.6059, kb_relative_information_score: 1757.8225, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8046, predictive_accuracy: 0.8049, prior_entropy: 0.9948, recall: 0.8049, relative_absolute_error: 0.5596, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7529, scimark_benchmark: 1360.1465, usercpu_time_millis: 18510.152, usercpu_time_millis_testing: 5.927, usercpu_time_millis_training: 18504.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8515, f_measure: 0.7795, kappa: 0.5551, kb_relative_information_score: 1466.6467, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7803, predictive_accuracy: 0.7803, prior_entropy: 0.9948, recall: 0.7803, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.394, root_relative_squared_error: 0.7909, scimark_benchmark: 1353.2878, usercpu_time_millis: 9654.979, usercpu_time_millis_testing: 3.345, usercpu_time_millis_training: 9651.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.8017, kappa: 0.6, kb_relative_information_score: 1675.7465, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.802, predictive_accuracy: 0.8022, prior_entropy: 0.9948, recall: 0.8022, relative_absolute_error: 0.5841, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7595, scimark_benchmark: 1360.7102, usercpu_time_millis: 14138.918, usercpu_time_millis_testing: 3.969, usercpu_time_millis_training: 14134.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8122, kappa: 0.6213, kb_relative_information_score: 1624.4031, mean_absolute_error: 0.299, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8124, predictive_accuracy: 0.8126, prior_entropy: 0.9948, recall: 0.8126, relative_absolute_error: 0.6022, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7511, scimark_benchmark: 1361.6199, usercpu_time_millis: 5051.841, usercpu_time_millis_testing: 7.295, usercpu_time_millis_training: 5044.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.8042, kappa: 0.6052, kb_relative_information_score: 1704.0582, mean_absolute_error: 0.2862, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8044, predictive_accuracy: 0.8046, prior_entropy: 0.9948, recall: 0.8046, relative_absolute_error: 0.5765, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7545, scimark_benchmark: 1356.6419, usercpu_time_millis: 20471.352, usercpu_time_millis_testing: 5.011, usercpu_time_millis_training: 20466.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.7617, kappa: 0.5191, kb_relative_information_score: 1341.8714, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7639, predictive_accuracy: 0.7633, prior_entropy: 0.9948, recall: 0.7633, relative_absolute_error: 0.6746, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8109, scimark_benchmark: 1357.756, usercpu_time_millis: 1687.957, usercpu_time_millis_testing: 1.509, usercpu_time_millis_training: 1686.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8089, kappa: 0.6146, kb_relative_information_score: 1622.9423, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8093, predictive_accuracy: 0.8094, prior_entropy: 0.9948, recall: 0.8094, relative_absolute_error: 0.6021, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.753, scimark_benchmark: 1361.6784, usercpu_time_millis: 1534.795, usercpu_time_millis_testing: 2.236, usercpu_time_millis_training: 1532.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.0085, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1364.301, usercpu_time_millis: 8.468, usercpu_time_millis_testing: 1.531, usercpu_time_millis_training: 6.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.7975, kappa: 0.5916, kb_relative_information_score: 1348.9755, mean_absolute_error: 0.3368, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7977, predictive_accuracy: 0.7979, prior_entropy: 0.9948, recall: 0.7979, relative_absolute_error: 0.6785, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.7864, scimark_benchmark: 1366.2311, usercpu_time_millis: 142.201, usercpu_time_millis_testing: 1.187, usercpu_time_millis_training: 141.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.7349, kappa: 0.4664, kb_relative_information_score: 793.0229, mean_absolute_error: 0.4101, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7351, predictive_accuracy: 0.7347, prior_entropy: 0.9948, recall: 0.7347, relative_absolute_error: 0.8261, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.8742, scimark_benchmark: 1362.3437, usercpu_time_millis: 146.411, usercpu_time_millis_testing: 1.44, usercpu_time_millis_training: 144.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: -0.512, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1355.3292, usercpu_time_millis: 6.856, usercpu_time_millis_testing: 2.016, usercpu_time_millis_training: 4.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.7865, kappa: 0.5695, kb_relative_information_score: 1532.6762, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7867, predictive_accuracy: 0.787, prior_entropy: 0.9948, recall: 0.787, relative_absolute_error: 0.6236, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.7795, scimark_benchmark: 1355.5865, usercpu_time_millis: 895.19, usercpu_time_millis_testing: 1.13, usercpu_time_millis_training: 894.06,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.1842, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1361.2254, usercpu_time_millis: 9.735, usercpu_time_millis_testing: 1.683, usercpu_time_millis_training: 8.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.7912, kappa: 0.5788, kb_relative_information_score: 1475.7716, mean_absolute_error: 0.3181, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7916, predictive_accuracy: 0.7918, prior_entropy: 0.9948, recall: 0.7918, relative_absolute_error: 0.6408, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7825, scimark_benchmark: 1342.4392, usercpu_time_millis: 8574.245, usercpu_time_millis_testing: 4.683, usercpu_time_millis_training: 8569.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8546, f_measure: 0.7872, kappa: 0.5707, kb_relative_information_score: 1375.0959, mean_absolute_error: 0.3324, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7876, predictive_accuracy: 0.7878, prior_entropy: 0.9948, recall: 0.7878, relative_absolute_error: 0.6695, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.7919, scimark_benchmark: 1360.7036, usercpu_time_millis: 96.398, usercpu_time_millis_testing: 1.11, usercpu_time_millis_training: 95.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, f_measure: 0.7989, kappa: 0.5944, kb_relative_information_score: 1525.1304, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7994, predictive_accuracy: 0.7995, prior_entropy: 0.9948, recall: 0.7995, relative_absolute_error: 0.6295, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7698, scimark_benchmark: 1359.5759, usercpu_time_millis: 3764.429, usercpu_time_millis_testing: 3.932, usercpu_time_millis_training: 3760.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0944, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1361.5682, usercpu_time_millis: 7.469, usercpu_time_millis_testing: 1.357, usercpu_time_millis_training: 6.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.7682, kappa: 0.5322, kb_relative_information_score: 1148.4654, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.769, predictive_accuracy: 0.7691, prior_entropy: 0.9948, recall: 0.7691, relative_absolute_error: 0.7324, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.409, root_relative_squared_error: 0.8209, scimark_benchmark: 1361.673, usercpu_time_millis: 618.751, usercpu_time_millis_testing: 2.227, usercpu_time_millis_training: 616.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: -0.0917, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1362.5584, usercpu_time_millis: 8.95, usercpu_time_millis_testing: 1.489, usercpu_time_millis_training: 7.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, f_measure: 0.8026, kappa: 0.6018, kb_relative_information_score: 1678.9727, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8028, predictive_accuracy: 0.803, prior_entropy: 0.9948, recall: 0.803, relative_absolute_error: 0.5839, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.7557, scimark_benchmark: 1362.1963, usercpu_time_millis: 15136.827, usercpu_time_millis_testing: 3.73, usercpu_time_millis_training: 15133.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 940.5529, mean_absolute_error: 0.3914, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7883, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.8782, scimark_benchmark: 1359.1268, usercpu_time_millis: 287.952, usercpu_time_millis_testing: 1.884, usercpu_time_millis_training: 286.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.8038, kappa: 0.6042, kb_relative_information_score: 1477.8973, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8042, predictive_accuracy: 0.8043, prior_entropy: 0.9948, recall: 0.8043, relative_absolute_error: 0.6434, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7705, scimark_benchmark: 1362.2983, usercpu_time_millis: 671.224, usercpu_time_millis_testing: 2.093, usercpu_time_millis_training: 669.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7845, f_measure: 0.7367, kappa: 0.4707, kb_relative_information_score: 736.4068, mean_absolute_error: 0.4169, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7377, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4417, root_relative_squared_error: 0.8865, scimark_benchmark: 1361.3037, usercpu_time_millis: 397.203, usercpu_time_millis_testing: 2.015, usercpu_time_millis_training: 395.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.7588, kappa: 0.5132, kb_relative_information_score: 983.7205, mean_absolute_error: 0.3853, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7596, predictive_accuracy: 0.7598, prior_entropy: 0.9948, recall: 0.7598, relative_absolute_error: 0.7762, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.8434, scimark_benchmark: 1361.3985, usercpu_time_millis: 88.169, usercpu_time_millis_testing: 1.376, usercpu_time_millis_training: 86.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.0735, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1357.9598, usercpu_time_millis: 8.113, usercpu_time_millis_testing: 1.439, usercpu_time_millis_training: 6.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.8034, kappa: 0.6036, kb_relative_information_score: 1501.3118, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8036, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.6363, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7686, scimark_benchmark: 1363.3511, usercpu_time_millis: 2226.532, usercpu_time_millis_testing: 2.911, usercpu_time_millis_training: 2223.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.7753, kappa: 0.5473, kb_relative_information_score: 1548.7523, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7753, predictive_accuracy: 0.7753, prior_entropy: 0.9948, recall: 0.7753, relative_absolute_error: 0.6122, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8085, scimark_benchmark: 1362.2146, usercpu_time_millis: 46.847, usercpu_time_millis_testing: 1.15, usercpu_time_millis_training: 45.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 995.8222, mean_absolute_error: 0.3838, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7731, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.8629, scimark_benchmark: 1363.7621, usercpu_time_millis: 351.924, usercpu_time_millis_testing: 1.487, usercpu_time_millis_training: 350.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.7986, kappa: 0.5939, kb_relative_information_score: 1515.4898, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7988, predictive_accuracy: 0.799, prior_entropy: 0.9948, recall: 0.799, relative_absolute_error: 0.6308, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.7739, scimark_benchmark: 1357.7444, usercpu_time_millis: 877.002, usercpu_time_millis_testing: 1.439, usercpu_time_millis_training: 875.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.7464, kappa: 0.4882, kb_relative_information_score: 630.016, mean_absolute_error: 0.4295, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7469, predictive_accuracy: 0.7473, prior_entropy: 0.9948, recall: 0.7473, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4452, root_relative_squared_error: 0.8935, scimark_benchmark: 1359.6262, usercpu_time_millis: 61.207, usercpu_time_millis_testing: 1.566, usercpu_time_millis_training: 59.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.7998, kappa: 0.5962, kb_relative_information_score: 1663.9015, mean_absolute_error: 0.2917, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8002, predictive_accuracy: 0.8003, prior_entropy: 0.9948, recall: 0.8003, relative_absolute_error: 0.5877, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.7604, scimark_benchmark: 1360.3884, usercpu_time_millis: 21793.702, usercpu_time_millis_testing: 5.026, usercpu_time_millis_training: 21788.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.075, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1363.818, usercpu_time_millis: 10.398, usercpu_time_millis_testing: 1.866, usercpu_time_millis_training: 8.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.8087, kappa: 0.6144, kb_relative_information_score: 1447.6228, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8087, predictive_accuracy: 0.8089, prior_entropy: 0.9948, recall: 0.8089, relative_absolute_error: 0.6526, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3819, root_relative_squared_error: 0.7665, scimark_benchmark: 1352.0364, usercpu_time_millis: 36.241, usercpu_time_millis_testing: 1.291, usercpu_time_millis_training: 34.95,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, f_measure: 0.7855, kappa: 0.5671, kb_relative_information_score: 1435.7843, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7861, predictive_accuracy: 0.7862, prior_entropy: 0.9948, recall: 0.7862, relative_absolute_error: 0.6517, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.7893, scimark_benchmark: 1359.8879, usercpu_time_millis: 6676.979, usercpu_time_millis_testing: 4.487, usercpu_time_millis_training: 6672.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, f_measure: 0.7974, kappa: 0.5914, kb_relative_information_score: 1614.1517, mean_absolute_error: 0.2984, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7978, predictive_accuracy: 0.7979, prior_entropy: 0.9948, recall: 0.7979, relative_absolute_error: 0.601, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.7677, scimark_benchmark: 1364.4198, usercpu_time_millis: 12245.1, usercpu_time_millis_testing: 3.797, usercpu_time_millis_training: 12241.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.761, kappa: 0.5179, kb_relative_information_score: 1158.4971, mean_absolute_error: 0.3623, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7642, predictive_accuracy: 0.763, prior_entropy: 0.9948, recall: 0.763, relative_absolute_error: 0.7297, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.8285, scimark_benchmark: 1358.9218, usercpu_time_millis: 247.342, usercpu_time_millis_testing: 1.125, usercpu_time_millis_training: 246.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7806, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 886.2101, mean_absolute_error: 0.3984, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8026, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.438, root_relative_squared_error: 0.8791, scimark_benchmark: 1353.0563, usercpu_time_millis: 392.347, usercpu_time_millis_testing: 2.007, usercpu_time_millis_training: 390.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.8017, kappa: 0.6, kb_relative_information_score: 1644.2374, mean_absolute_error: 0.2952, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.802, predictive_accuracy: 0.8022, prior_entropy: 0.9948, recall: 0.8022, relative_absolute_error: 0.5947, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.7576, scimark_benchmark: 1363.9745, usercpu_time_millis: 12608.748, usercpu_time_millis_testing: 6.242, usercpu_time_millis_training: 12602.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.7876, kappa: 0.5716, kb_relative_information_score: 1484.0246, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7878, predictive_accuracy: 0.7881, prior_entropy: 0.9948, recall: 0.7881, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7838, scimark_benchmark: 1362.534, usercpu_time_millis: 3537.98, usercpu_time_millis_testing: 1.696, usercpu_time_millis_training: 3536.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8491, f_measure: 0.7797, kappa: 0.5554, kb_relative_information_score: 1361.5804, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7807, predictive_accuracy: 0.7806, prior_entropy: 0.9948, recall: 0.7806, relative_absolute_error: 0.6728, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.7974, scimark_benchmark: 1363.685, usercpu_time_millis: 2590.062, usercpu_time_millis_testing: 2.377, usercpu_time_millis_training: 2587.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 899.6331, mean_absolute_error: 0.3967, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.799, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.8794, scimark_benchmark: 1363.1277, usercpu_time_millis: 496.127, usercpu_time_millis_testing: 1.899, usercpu_time_millis_training: 494.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.7657, kappa: 0.5277, kb_relative_information_score: 977.323, mean_absolute_error: 0.3857, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7656, predictive_accuracy: 0.7659, prior_entropy: 0.9948, recall: 0.7659, relative_absolute_error: 0.7769, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.8384, scimark_benchmark: 1358.087, usercpu_time_millis: 203.401, usercpu_time_millis_testing: 3.804, usercpu_time_millis_training: 199.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.7913, kappa: 0.579, kb_relative_information_score: 1532.1045, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7916, predictive_accuracy: 0.7918, prior_entropy: 0.9948, recall: 0.7918, relative_absolute_error: 0.6252, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.7756, scimark_benchmark: 1359.8058, usercpu_time_millis: 3767.067, usercpu_time_millis_testing: 1.593, usercpu_time_millis_training: 3765.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.7785, kappa: 0.5531, kb_relative_information_score: 1311.1364, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7787, predictive_accuracy: 0.779, prior_entropy: 0.9948, recall: 0.779, relative_absolute_error: 0.6872, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8007, scimark_benchmark: 1362.0825, usercpu_time_millis: 981.934, usercpu_time_millis_testing: 2.602, usercpu_time_millis_training: 979.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.7468, kappa: 0.489, kb_relative_information_score: 797.4582, mean_absolute_error: 0.4092, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7485, predictive_accuracy: 0.7483, prior_entropy: 0.9948, recall: 0.7483, relative_absolute_error: 0.8242, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.8689, scimark_benchmark: 1359.383, usercpu_time_millis: 96.077, usercpu_time_millis_testing: 1.443, usercpu_time_millis_training: 94.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8534, f_measure: 0.7827, kappa: 0.5616, kb_relative_information_score: 1441.6099, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.783, predictive_accuracy: 0.7833, prior_entropy: 0.9948, recall: 0.7833, relative_absolute_error: 0.6498, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.7895, scimark_benchmark: 1360.8815, usercpu_time_millis: 2233.216, usercpu_time_millis_testing: 1.63, usercpu_time_millis_training: 2231.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.7892, kappa: 0.5747, kb_relative_information_score: 1499.2552, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7894, predictive_accuracy: 0.7897, prior_entropy: 0.9948, recall: 0.7897, relative_absolute_error: 0.6336, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7816, scimark_benchmark: 1373.3791, usercpu_time_millis: 7768.646, usercpu_time_millis_testing: 2.487, usercpu_time_millis_training: 7766.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 904.772, mean_absolute_error: 0.3961, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.435, root_relative_squared_error: 0.8731, scimark_benchmark: 1361.5938, usercpu_time_millis: 388.404, usercpu_time_millis_testing: 1.8, usercpu_time_millis_training: 386.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.761, kappa: 0.518, kb_relative_information_score: 996.3504, mean_absolute_error: 0.3829, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.761, predictive_accuracy: 0.7614, prior_entropy: 0.9948, recall: 0.7614, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4179, root_relative_squared_error: 0.8389, scimark_benchmark: 1362.1996, usercpu_time_millis: 192.041, usercpu_time_millis_testing: 3.132, usercpu_time_millis_training: 188.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.7806, kappa: 0.5573, kb_relative_information_score: 1406.1306, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7813, predictive_accuracy: 0.7814, prior_entropy: 0.9948, recall: 0.7814, relative_absolute_error: 0.6593, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.7957, scimark_benchmark: 1361.2966, usercpu_time_millis: 3600.157, usercpu_time_millis_testing: 2.104, usercpu_time_millis_training: 3598.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.7863, kappa: 0.569, kb_relative_information_score: 1222.9833, mean_absolute_error: 0.3536, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7864, predictive_accuracy: 0.7867, prior_entropy: 0.9948, recall: 0.7867, relative_absolute_error: 0.7123, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8061, scimark_benchmark: 1355.1108, usercpu_time_millis: 362.593, usercpu_time_millis_testing: 2.671, usercpu_time_millis_training: 359.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7941, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 732.8339, mean_absolute_error: 0.4176, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8412, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.8854, scimark_benchmark: 1359.8785, usercpu_time_millis: 172.548, usercpu_time_millis_testing: 1.838, usercpu_time_millis_training: 170.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.7722, kappa: 0.5406, kb_relative_information_score: 1331.911, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7723, predictive_accuracy: 0.7726, prior_entropy: 0.9948, recall: 0.7726, relative_absolute_error: 0.6794, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8103, scimark_benchmark: 1364.9521, usercpu_time_millis: 2286.633, usercpu_time_millis_testing: 2.739, usercpu_time_millis_training: 2283.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, f_measure: 0.7756, kappa: 0.5472, kb_relative_information_score: 1338.5037, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7762, predictive_accuracy: 0.7763, prior_entropy: 0.9948, recall: 0.7763, relative_absolute_error: 0.6777, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8061, scimark_benchmark: 1371.054, usercpu_time_millis: 2435.858, usercpu_time_millis_testing: 2.889, usercpu_time_millis_training: 2432.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.7641, kappa: 0.524, kb_relative_information_score: 1281.937, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7646, predictive_accuracy: 0.7649, prior_entropy: 0.9948, recall: 0.7649, relative_absolute_error: 0.6921, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8203, scimark_benchmark: 1369.4636, usercpu_time_millis: 2129.573, usercpu_time_millis_testing: 2.005, usercpu_time_millis_training: 2127.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.7092, kappa: 0.4132, kb_relative_information_score: 526.4279, mean_absolute_error: 0.4409, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7101, predictive_accuracy: 0.7107, prior_entropy: 0.9948, recall: 0.7107, relative_absolute_error: 0.8882, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4532, root_relative_squared_error: 0.9096, scimark_benchmark: 1361.3225, usercpu_time_millis: 15.246, usercpu_time_millis_testing: 1.493, usercpu_time_millis_training: 13.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.7791, kappa: 0.5544, kb_relative_information_score: 1216.1769, mean_absolute_error: 0.3543, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7796, predictive_accuracy: 0.7798, prior_entropy: 0.9948, recall: 0.7798, relative_absolute_error: 0.7137, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.808, scimark_benchmark: 1360.1819, usercpu_time_millis: 976.609, usercpu_time_millis_testing: 3.953, usercpu_time_millis_training: 972.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8427, f_measure: 0.7754, kappa: 0.5468, kb_relative_information_score: 1368.1076, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7758, predictive_accuracy: 0.7761, prior_entropy: 0.9948, recall: 0.7761, relative_absolute_error: 0.6693, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8035, scimark_benchmark: 1358.8275, usercpu_time_millis: 484.701, usercpu_time_millis_testing: 1.139, usercpu_time_millis_training: 483.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.7921, kappa: 0.5807, kb_relative_information_score: 1317.3197, mean_absolute_error: 0.3409, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7924, predictive_accuracy: 0.7926, prior_entropy: 0.9948, recall: 0.7926, relative_absolute_error: 0.6868, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.7934, scimark_benchmark: 1372.1753, usercpu_time_millis: 1530.398, usercpu_time_millis_testing: 4.869, usercpu_time_millis_training: 1525.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8415, f_measure: 0.7739, kappa: 0.5438, kb_relative_information_score: 1243.8881, mean_absolute_error: 0.3501, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7742, predictive_accuracy: 0.7745, prior_entropy: 0.9948, recall: 0.7745, relative_absolute_error: 0.7052, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.404, root_relative_squared_error: 0.811, scimark_benchmark: 1360.6548, usercpu_time_millis: 749.135, usercpu_time_millis_testing: 3.107, usercpu_time_millis_training: 746.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.7608, kappa: 0.5172, kb_relative_information_score: 1063.8951, mean_absolute_error: 0.3751, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7626, predictive_accuracy: 0.7622, prior_entropy: 0.9948, recall: 0.7622, relative_absolute_error: 0.7556, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.415, root_relative_squared_error: 0.833, scimark_benchmark: 1372.3769, usercpu_time_millis: 677.775, usercpu_time_millis_testing: 2.881, usercpu_time_millis_training: 674.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.7709, kappa: 0.5378, kb_relative_information_score: 1137.4399, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7712, predictive_accuracy: 0.7715, prior_entropy: 0.9948, recall: 0.7715, relative_absolute_error: 0.7347, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8205, scimark_benchmark: 1358.7362, usercpu_time_millis: 77.83, usercpu_time_millis_testing: 1.352, usercpu_time_millis_training: 76.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.7833, kappa: 0.5629, kb_relative_information_score: 1440.7866, mean_absolute_error: 0.3222, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7835, predictive_accuracy: 0.7838, prior_entropy: 0.9948, recall: 0.7838, relative_absolute_error: 0.649, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.396, root_relative_squared_error: 0.7948, scimark_benchmark: 1372.3336, usercpu_time_millis: 156.892, usercpu_time_millis_testing: 1.285, usercpu_time_millis_training: 155.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.791, f_measure: 0.7199, kappa: 0.4349, kb_relative_information_score: 594.6764, mean_absolute_error: 0.4331, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7202, predictive_accuracy: 0.7209, prior_entropy: 0.9948, recall: 0.7209, relative_absolute_error: 0.8724, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4483, root_relative_squared_error: 0.8998, scimark_benchmark: 1372.0487, usercpu_time_millis: 9.461, usercpu_time_millis_testing: 1.294, usercpu_time_millis_training: 8.167,

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