Task
Supervised Classification on AP_Prostate_Uterus

Supervised Classification on AP_Prostate_Uterus

Task 3965 Supervised Classification AP_Prostate_Uterus 76 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9791, kappa: 0.9543, kb_relative_information_score: 181.013, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.4598, number_of_instances: 193, precision: 0.9799, predictive_accuracy: 0.9793, prior_entropy: 0.9418, recall: 0.9793, relative_absolute_error: 0.0631, root_mean_prior_squared_error: 0.4793, root_mean_squared_error: 0.135, root_relative_squared_error: 0.2818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9896, kappa: 0.9773, kb_relative_information_score: 188.2485, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.4598, number_of_instances: 193, precision: 0.9898, predictive_accuracy: 0.9896, prior_entropy: 0.9418, recall: 0.9896, relative_absolute_error: 0.0225, root_mean_prior_squared_error: 0.4793, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.2124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9792, kappa: 0.9546, kb_relative_information_score: 183.4615, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.4598, number_of_instances: 193, precision: 0.9794, predictive_accuracy: 0.9793, prior_entropy: 0.9418, recall: 0.9793, relative_absolute_error: 0.0472, root_mean_prior_squared_error: 0.4793, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.2993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9739, kappa: 0.9427, kb_relative_information_score: 176.302, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4598, number_of_instances: 193, precision: 0.9751, predictive_accuracy: 0.9741, prior_entropy: 0.9418, recall: 0.9741, relative_absolute_error: 0.0956, root_mean_prior_squared_error: 0.4793, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.2926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9844, kappa: 0.9661, kb_relative_information_score: 185.998, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.4598, number_of_instances: 193, precision: 0.9845, predictive_accuracy: 0.9845, prior_entropy: 0.9418, recall: 0.9845, relative_absolute_error: 0.0338, root_mean_prior_squared_error: 0.4793, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.2601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9793, kappa: 0.9552, kb_relative_information_score: 154.5219, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.4598, number_of_instances: 193, precision: 0.9796, predictive_accuracy: 0.9793, prior_entropy: 0.9418, recall: 0.9793, relative_absolute_error: 0.2273, root_mean_prior_squared_error: 0.4793, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.3699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.964, kappa: 0.9223, kb_relative_information_score: 176.4791, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.4598, number_of_instances: 193, precision: 0.9656, predictive_accuracy: 0.9637, prior_entropy: 0.9418, recall: 0.9637, relative_absolute_error: 0.0826, root_mean_prior_squared_error: 0.4793, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.3973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9896, kappa: 0.9774, kb_relative_information_score: 188.2485, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.4598, number_of_instances: 193, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 0.9418, recall: 0.9896, relative_absolute_error: 0.0225, root_mean_prior_squared_error: 0.4793, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.2124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4886, f_measure: 0.5026, kb_relative_information_score: 0.6421, mean_absolute_error: 0.4584, mean_prior_absolute_error: 0.4598, number_of_instances: 193, precision: 0.4128, predictive_accuracy: 0.6425, prior_entropy: 0.9418, recall: 0.6425, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.4793, root_mean_squared_error: 0.4793, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9896, kappa: 0.9773, kb_relative_information_score: 175.6126, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.4598, number_of_instances: 193, precision: 0.9898, predictive_accuracy: 0.9896, prior_entropy: 0.9418, recall: 0.9896, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.4793, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.2562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9896, kappa: 0.9773, kb_relative_information_score: 188.2485, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.4598, number_of_instances: 193, precision: 0.9898, predictive_accuracy: 0.9896, prior_entropy: 0.9418, recall: 0.9896, relative_absolute_error: 0.0225, root_mean_prior_squared_error: 0.4793, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.2124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5026, kb_relative_information_score: 37.4644, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.4598, number_of_instances: 193, precision: 0.4128, predictive_accuracy: 0.6425, prior_entropy: 0.9418, recall: 0.6425, relative_absolute_error: 0.7775, root_mean_prior_squared_error: 0.4793, root_mean_squared_error: 0.5979, root_relative_squared_error: 1.2476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9844, kappa: 0.9661, kb_relative_information_score: 185.998, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.4598, number_of_instances: 193, precision: 0.9845, predictive_accuracy: 0.9845, prior_entropy: 0.9418, recall: 0.9845, relative_absolute_error: 0.0338, root_mean_prior_squared_error: 0.4793, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.2601, scimark_benchmark: 1922.3298, usercpu_time_millis: 5625, usercpu_time_millis_testing: 2671.875, usercpu_time_millis_training: 2953.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9844, kappa: 0.9661, kb_relative_information_score: 185.998, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.4598, number_of_instances: 193, precision: 0.9845, predictive_accuracy: 0.9845, prior_entropy: 0.9418, recall: 0.9845, relative_absolute_error: 0.0338, root_mean_prior_squared_error: 0.4793, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.2601, scimark_benchmark: 1922.3298, usercpu_time_millis: 6218.75, usercpu_time_millis_testing: 2890.625, usercpu_time_millis_training: 3328.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5026, kb_relative_information_score: 37.4644, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.4598, number_of_instances: 193, precision: 0.4128, predictive_accuracy: 0.6425, prior_entropy: 0.9418, recall: 0.6425, relative_absolute_error: 0.7775, root_mean_prior_squared_error: 0.4793, root_mean_squared_error: 0.5979, root_relative_squared_error: 1.2476, scimark_benchmark: 1922.3298, usercpu_time_millis: 14078.125, usercpu_time_millis_testing: 7156.25, usercpu_time_millis_training: 6921.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5026, kb_relative_information_score: 37.4644, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.4598, number_of_instances: 193, precision: 0.4128, predictive_accuracy: 0.6425, prior_entropy: 0.9418, recall: 0.6425, relative_absolute_error: 0.7775, root_mean_prior_squared_error: 0.4793, root_mean_squared_error: 0.5979, root_relative_squared_error: 1.2476, scimark_benchmark: 1280.301, usercpu_time_millis: 15453.125, usercpu_time_millis_testing: 7578.125, usercpu_time_millis_training: 7875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.5026, kb_relative_information_score: -5.994, mean_absolute_error: 0.4674, mean_prior_absolute_error: 0.4598, number_of_instances: 193, precision: 0.4128, predictive_accuracy: 0.6425, prior_entropy: 0.9418, recall: 0.6425, relative_absolute_error: 1.0164, root_mean_prior_squared_error: 0.4793, root_mean_squared_error: 0.4801, root_relative_squared_error: 1.0017, scimark_benchmark: 1363.9303, usercpu_time_millis: 645430, usercpu_time_millis_testing: 26710, usercpu_time_millis_training: 618720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5026, kb_relative_information_score: 37.4644, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.4598, number_of_instances: 193, precision: 0.4128, predictive_accuracy: 0.6425, prior_entropy: 0.9418, recall: 0.6425, relative_absolute_error: 0.7775, root_mean_prior_squared_error: 0.4793, root_mean_squared_error: 0.5979, root_relative_squared_error: 1.2476, scimark_benchmark: 1638.3187, usercpu_time_millis: 9090, usercpu_time_millis_testing: 4690, usercpu_time_millis_training: 4400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5026, kb_relative_information_score: 37.4644, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.4598, number_of_instances: 193, precision: 0.4128, predictive_accuracy: 0.6425, prior_entropy: 0.9418, recall: 0.6425, relative_absolute_error: 0.7775, root_mean_prior_squared_error: 0.4793, root_mean_squared_error: 0.5979, root_relative_squared_error: 1.2476, scimark_benchmark: 1387.679, usercpu_time_millis: 16470, usercpu_time_millis_testing: 7210, usercpu_time_millis_training: 9260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9844, kappa: 0.9661, kb_relative_information_score: 185.998, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.4598, number_of_instances: 193, precision: 0.9845, predictive_accuracy: 0.9845, prior_entropy: 0.9418, recall: 0.9845, relative_absolute_error: 0.0338, root_mean_prior_squared_error: 0.4793, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.2601, scimark_benchmark: 1374.8031, usercpu_time_millis: 6130, usercpu_time_millis_testing: 3000, usercpu_time_millis_training: 3130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9844, kappa: 0.9661, kb_relative_information_score: 185.998, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.4598, number_of_instances: 193, precision: 0.9845, predictive_accuracy: 0.9845, prior_entropy: 0.9418, recall: 0.9845, relative_absolute_error: 0.0338, root_mean_prior_squared_error: 0.4793, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.2601, scimark_benchmark: 1622.9129, usercpu_time_millis: 6700, usercpu_time_millis_testing: 3240, usercpu_time_millis_training: 3460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5026, kb_relative_information_score: 37.4644, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.4598, number_of_instances: 193, precision: 0.4128, predictive_accuracy: 0.6425, prior_entropy: 0.9418, recall: 0.6425, relative_absolute_error: 0.7775, root_mean_prior_squared_error: 0.4793, root_mean_squared_error: 0.5979, root_relative_squared_error: 1.2476, scimark_benchmark: 1665.974, usercpu_time_millis: 144187.5, usercpu_time_millis_testing: 39656.25, usercpu_time_millis_training: 104531.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.974, kappa: 0.9431, kb_relative_information_score: 181.4969, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.4598, number_of_instances: 193, precision: 0.9743, predictive_accuracy: 0.9741, prior_entropy: 0.9418, recall: 0.9741, relative_absolute_error: 0.0563, root_mean_prior_squared_error: 0.4793, root_mean_squared_error: 0.161, root_relative_squared_error: 0.3358, scimark_benchmark: 1078.7657, usercpu_time_millis: 4820, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 4760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 191.0619, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.4598, number_of_instances: 193, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9418, recall: 1, relative_absolute_error: 0.0124, root_mean_prior_squared_error: 0.4793, root_mean_squared_error: 0.0057, root_relative_squared_error: 0.0119, scimark_benchmark: 1038.8443, usercpu_time_millis: 3030, usercpu_time_millis_testing: 3020, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9948, kappa: 0.9887, kb_relative_information_score: 190.499, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.4598, number_of_instances: 193, precision: 0.9949, predictive_accuracy: 0.9948, prior_entropy: 0.9418, recall: 0.9948, relative_absolute_error: 0.0113, root_mean_prior_squared_error: 0.4793, root_mean_squared_error: 0.072, root_relative_squared_error: 0.1502, scimark_benchmark: 1270.614, usercpu_time_millis: 2580, usercpu_time_millis_testing: 1550, usercpu_time_millis_training: 1030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9844, kappa: 0.9661, kb_relative_information_score: 185.998, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.4598, number_of_instances: 193, precision: 0.9845, predictive_accuracy: 0.9845, prior_entropy: 0.9418, recall: 0.9845, relative_absolute_error: 0.0338, root_mean_prior_squared_error: 0.4793, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.2601, scimark_benchmark: 1238.6304, usercpu_time_millis: 1390, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 1300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.974, kappa: 0.9431, kb_relative_information_score: 181.4969, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.4598, number_of_instances: 193, precision: 0.9743, predictive_accuracy: 0.9741, prior_entropy: 0.9418, recall: 0.9741, relative_absolute_error: 0.0563, root_mean_prior_squared_error: 0.4793, root_mean_squared_error: 0.161, root_relative_squared_error: 0.3358, scimark_benchmark: 1144.903, usercpu_time_millis: 6110, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 5990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5086, f_measure: 0.5026, kb_relative_information_score: -5.2039, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.4598, number_of_instances: 193, precision: 0.4128, predictive_accuracy: 0.6425, prior_entropy: 0.9418, recall: 0.6425, relative_absolute_error: 1.0142, root_mean_prior_squared_error: 0.4793, root_mean_squared_error: 0.4799, root_relative_squared_error: 1.0012, scimark_benchmark: 1069.951, usercpu_time_millis: 296570, usercpu_time_millis_testing: 75460, usercpu_time_millis_training: 221110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9844, kappa: 0.9661, kb_relative_information_score: 185.8004, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.4598, number_of_instances: 193, precision: 0.9845, predictive_accuracy: 0.9845, prior_entropy: 0.9418, recall: 0.9845, relative_absolute_error: 0.0352, root_mean_prior_squared_error: 0.4793, root_mean_squared_error: 0.1249, root_relative_squared_error: 0.2607, scimark_benchmark: 1307.7134, usercpu_time_millis: 84230, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 84190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 191.0619, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.4598, number_of_instances: 193, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9418, recall: 1, relative_absolute_error: 0.0124, root_mean_prior_squared_error: 0.4793, root_mean_squared_error: 0.0057, root_relative_squared_error: 0.0119, scimark_benchmark: 1286.5154, usercpu_time_millis: 2900, usercpu_time_millis_testing: 2190, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9844, kappa: 0.9661, kb_relative_information_score: 185.998, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.4598, number_of_instances: 193, precision: 0.9845, predictive_accuracy: 0.9845, prior_entropy: 0.9418, recall: 0.9845, relative_absolute_error: 0.0338, root_mean_prior_squared_error: 0.4793, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.2601, scimark_benchmark: 1277.5805, usercpu_time_millis: 1300, usercpu_time_millis_training: 1300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9792, kappa: 0.9546, kb_relative_information_score: 183.7475, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.4598, number_of_instances: 193, precision: 0.9794, predictive_accuracy: 0.9793, prior_entropy: 0.9418, recall: 0.9793, relative_absolute_error: 0.0451, root_mean_prior_squared_error: 0.4793, root_mean_squared_error: 0.144, root_relative_squared_error: 0.3004, scimark_benchmark: 1029.6317, usercpu_time_millis: 2490, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9844, kappa: 0.9661, kb_relative_information_score: 185.0176, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.4598, number_of_instances: 193, precision: 0.9845, predictive_accuracy: 0.9845, prior_entropy: 0.9418, recall: 0.9845, relative_absolute_error: 0.041, root_mean_prior_squared_error: 0.4793, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.2604, scimark_benchmark: 925.0673, usercpu_time_millis: 1460, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9844, kappa: 0.9658, kb_relative_information_score: 168.5032, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.4598, number_of_instances: 193, precision: 0.9848, predictive_accuracy: 0.9845, prior_entropy: 0.9418, recall: 0.9845, relative_absolute_error: 0.1553, root_mean_prior_squared_error: 0.4793, root_mean_squared_error: 0.1288, root_relative_squared_error: 0.2687, scimark_benchmark: 1189.1478, usercpu_time_millis: 1770, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9948, kappa: 0.9887, kb_relative_information_score: 190.499, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.4598, number_of_instances: 193, precision: 0.9949, predictive_accuracy: 0.9948, prior_entropy: 0.9418, recall: 0.9948, relative_absolute_error: 0.0113, root_mean_prior_squared_error: 0.4793, root_mean_squared_error: 0.072, root_relative_squared_error: 0.1502, scimark_benchmark: 1145.6887, usercpu_time_millis: 5820, usercpu_time_millis_testing: 1430, usercpu_time_millis_training: 4390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9896, kappa: 0.9774, kb_relative_information_score: 188.2485, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.4598, number_of_instances: 193, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 0.9418, recall: 0.9896, relative_absolute_error: 0.0225, root_mean_prior_squared_error: 0.4793, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.2124, scimark_benchmark: 850.836, usercpu_time_millis: 1420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9948, kappa: 0.9887, kb_relative_information_score: 190.499, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.4598, number_of_instances: 193, precision: 0.9949, predictive_accuracy: 0.9948, prior_entropy: 0.9418, recall: 0.9948, relative_absolute_error: 0.0113, root_mean_prior_squared_error: 0.4793, root_mean_squared_error: 0.072, root_relative_squared_error: 0.1502, scimark_benchmark: 1285.975, usercpu_time_millis: 2290, usercpu_time_millis_testing: 1210, usercpu_time_millis_training: 1080,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.5026, kb_relative_information_score: -5.994, mean_absolute_error: 0.4674, mean_prior_absolute_error: 0.4598, number_of_instances: 193, precision: 0.4128, predictive_accuracy: 0.6425, prior_entropy: 0.9418, recall: 0.6425, relative_absolute_error: 1.0164, root_mean_prior_squared_error: 0.4793, root_mean_squared_error: 0.4801, root_relative_squared_error: 1.0017, scimark_benchmark: 1115.097, usercpu_time_millis: 203110, usercpu_time_millis_testing: 46190, usercpu_time_millis_training: 156920,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9844, kappa: 0.9658, kb_relative_information_score: 185.998, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.4598, number_of_instances: 193, precision: 0.9848, predictive_accuracy: 0.9845, prior_entropy: 0.9418, recall: 0.9845, relative_absolute_error: 0.0338, root_mean_prior_squared_error: 0.4793, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.2601, scimark_benchmark: 855.9714, usercpu_time_millis: 4140, usercpu_time_millis_testing: 1390, usercpu_time_millis_training: 2750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9844, kappa: 0.9658, kb_relative_information_score: 163.1629, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.4598, number_of_instances: 193, precision: 0.9848, predictive_accuracy: 0.9845, prior_entropy: 0.9418, recall: 0.9845, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.4793, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.295, scimark_benchmark: 1026.9183, usercpu_time_millis: 1150, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9896, kappa: 0.9773, kb_relative_information_score: 187.2681, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.4598, number_of_instances: 193, precision: 0.9898, predictive_accuracy: 0.9896, prior_entropy: 0.9418, recall: 0.9896, relative_absolute_error: 0.0297, root_mean_prior_squared_error: 0.4793, root_mean_squared_error: 0.1019, root_relative_squared_error: 0.2127, scimark_benchmark: 988.0679, usercpu_time_millis: 410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9896, kappa: 0.9774, kb_relative_information_score: 188.2485, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.4598, number_of_instances: 193, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 0.9418, recall: 0.9896, relative_absolute_error: 0.0225, root_mean_prior_squared_error: 0.4793, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.2124, scimark_benchmark: 1477.3117, usercpu_time_millis: 350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 340,

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