Task
Supervised Classification on AP_Endometrium_Breast

Supervised Classification on AP_Endometrium_Breast

Task 3957 Supervised Classification AP_Endometrium_Breast 81 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9523, kappa: 0.8102, kb_relative_information_score: 0.6592, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.2571, weighted_recall: 0.9531, number_of_instances: 405, precision: 0.952, predictive_accuracy: 0.9531, prior_entropy: 0.6114, relative_absolute_error: 0.2689, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.5345, unweighted_recall: 0.8915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9523, kappa: 0.8102, kb_relative_information_score: 0.6592, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.2571, weighted_recall: 0.9531, number_of_instances: 405, precision: 0.952, predictive_accuracy: 0.9531, prior_entropy: 0.6114, relative_absolute_error: 0.2689, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.5345, unweighted_recall: 0.8915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9523, kappa: 0.8102, kb_relative_information_score: 265.1477, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.952, predictive_accuracy: 0.9531, prior_entropy: 0.6157, recall: 0.9531, relative_absolute_error: 0.2689, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.5345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.9726, kappa: 0.8917, kb_relative_information_score: 344.5687, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.9725, predictive_accuracy: 0.9728, prior_entropy: 0.6157, recall: 0.9728, relative_absolute_error: 0.1253, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.4612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, f_measure: 0.9673, kappa: 0.8702, kb_relative_information_score: 315.5513, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.9673, predictive_accuracy: 0.9679, prior_entropy: 0.6157, recall: 0.9679, relative_absolute_error: 0.2229, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.177, root_relative_squared_error: 0.4948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9798, kappa: 0.9195, kb_relative_information_score: 352.8453, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.9803, predictive_accuracy: 0.9802, prior_entropy: 0.6157, recall: 0.9802, relative_absolute_error: 0.1272, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9876, kappa: 0.9514, kb_relative_information_score: 378.2195, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.9876, predictive_accuracy: 0.9877, prior_entropy: 0.6157, recall: 0.9877, relative_absolute_error: 0.048, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.1111, root_relative_squared_error: 0.3106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9686, kappa: 0.8802, kb_relative_information_score: 301.6638, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.9703, predictive_accuracy: 0.9679, prior_entropy: 0.6157, recall: 0.9679, relative_absolute_error: 0.2437, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.4662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9774, kappa: 0.9101, kb_relative_information_score: 358.3766, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.9776, predictive_accuracy: 0.9778, prior_entropy: 0.6157, recall: 0.9778, relative_absolute_error: 0.0889, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.9504, kappa: 0.816, kb_relative_information_score: 301.4716, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.9566, predictive_accuracy: 0.9481, prior_entropy: 0.6157, recall: 0.9481, relative_absolute_error: 0.2017, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.6366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.9434, kappa: 0.7795, kb_relative_information_score: 292.3089, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.9436, predictive_accuracy: 0.9432, prior_entropy: 0.6157, recall: 0.9432, relative_absolute_error: 0.225, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.6579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4906, f_measure: 0.7802, kb_relative_information_score: 3.3779, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.7215, predictive_accuracy: 0.8494, prior_entropy: 0.6157, recall: 0.8494, relative_absolute_error: 0.9882, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.3577, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9668, kappa: 0.8664, kb_relative_information_score: 275.6096, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.9677, predictive_accuracy: 0.9679, prior_entropy: 0.6157, recall: 0.9679, relative_absolute_error: 0.3045, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.169, root_relative_squared_error: 0.4725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.9657, kappa: 0.8667, kb_relative_information_score: 335.0488, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.966, predictive_accuracy: 0.9654, prior_entropy: 0.6157, recall: 0.9654, relative_absolute_error: 0.1345, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.5198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.0394, kb_relative_information_score: -1015.6031, mean_absolute_error: 0.6728, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.0227, predictive_accuracy: 0.1506, prior_entropy: 0.6157, recall: 0.1506, relative_absolute_error: 2.6174, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.7391, root_relative_squared_error: 2.0664, scimark_benchmark: 1586.7278, usercpu_time_millis: 1245078.125, usercpu_time_millis_testing: 81359.375, usercpu_time_millis_training: 1163718.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9876, kappa: 0.9514, kb_relative_information_score: 378.2195, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.9876, predictive_accuracy: 0.9877, prior_entropy: 0.6157, recall: 0.9877, relative_absolute_error: 0.048, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.1111, root_relative_squared_error: 0.3106, scimark_benchmark: 1922.3298, usercpu_time_millis: 15031.25, usercpu_time_millis_testing: 6875, usercpu_time_millis_training: 8156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.985, kappa: 0.9405, kb_relative_information_score: 373.4228, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.9852, predictive_accuracy: 0.9852, prior_entropy: 0.6157, recall: 0.9852, relative_absolute_error: 0.0576, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.1217, root_relative_squared_error: 0.3403, scimark_benchmark: 1922.3298, usercpu_time_millis: 13703.125, usercpu_time_millis_testing: 6671.875, usercpu_time_millis_training: 7031.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7802, kb_relative_information_score: 109.6017, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.7215, predictive_accuracy: 0.8494, prior_entropy: 0.6157, recall: 0.8494, relative_absolute_error: 0.5859, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.3881, root_relative_squared_error: 1.085, scimark_benchmark: 1922.3298, usercpu_time_millis: 31718.75, usercpu_time_millis_testing: 15312.5, usercpu_time_millis_training: 16406.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7802, kb_relative_information_score: 109.6017, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.7215, predictive_accuracy: 0.8494, prior_entropy: 0.6157, recall: 0.8494, relative_absolute_error: 0.5859, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.3881, root_relative_squared_error: 1.085, scimark_benchmark: 1280.301, usercpu_time_millis: 32078.125, usercpu_time_millis_testing: 13890.625, usercpu_time_millis_training: 18187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4949, f_measure: 0.7802, kb_relative_information_score: -0.584, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.7215, predictive_accuracy: 0.8494, prior_entropy: 0.6157, recall: 0.8494, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.3577, root_relative_squared_error: 1, scimark_benchmark: 1388.889, usercpu_time_millis: 1258030, usercpu_time_millis_testing: 57200, usercpu_time_millis_training: 1200830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7802, kb_relative_information_score: 109.6017, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.7215, predictive_accuracy: 0.8494, prior_entropy: 0.6157, recall: 0.8494, relative_absolute_error: 0.5859, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.3881, root_relative_squared_error: 1.085, scimark_benchmark: 1631.159, usercpu_time_millis: 22320, usercpu_time_millis_testing: 8510, usercpu_time_millis_training: 13810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7802, kb_relative_information_score: 109.6017, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.7215, predictive_accuracy: 0.8494, prior_entropy: 0.6157, recall: 0.8494, relative_absolute_error: 0.5859, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.3881, root_relative_squared_error: 1.085, scimark_benchmark: 1384.7129, usercpu_time_millis: 47470, usercpu_time_millis_testing: 25060, usercpu_time_millis_training: 22410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9876, kappa: 0.9514, kb_relative_information_score: 378.2195, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.9876, predictive_accuracy: 0.9877, prior_entropy: 0.6157, recall: 0.9877, relative_absolute_error: 0.048, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.1111, root_relative_squared_error: 0.3106, scimark_benchmark: 1383.596, usercpu_time_millis: 22380, usercpu_time_millis_testing: 10720, usercpu_time_millis_training: 11660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.985, kappa: 0.9405, kb_relative_information_score: 373.4228, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.9852, predictive_accuracy: 0.9852, prior_entropy: 0.6157, recall: 0.9852, relative_absolute_error: 0.0576, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.1217, root_relative_squared_error: 0.3403, scimark_benchmark: 1385.7842, usercpu_time_millis: 22460, usercpu_time_millis_testing: 10690, usercpu_time_millis_training: 11770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.0394, kb_relative_information_score: -1015.6031, mean_absolute_error: 0.6728, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.0227, predictive_accuracy: 0.1506, prior_entropy: 0.6157, recall: 0.1506, relative_absolute_error: 2.6174, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.7391, root_relative_squared_error: 2.0664, scimark_benchmark: 1665.974, usercpu_time_millis: 443953.125, usercpu_time_millis_testing: 106562.5, usercpu_time_millis_training: 337390.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.9509, kappa: 0.8096, kb_relative_information_score: 298.7666, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.9514, predictive_accuracy: 0.9506, prior_entropy: 0.6157, recall: 0.9506, relative_absolute_error: 0.2222, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.6019, scimark_benchmark: 990.1264, usercpu_time_millis: 13348060, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 13348050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.9509, kappa: 0.8096, kb_relative_information_score: 298.7666, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.9514, predictive_accuracy: 0.9506, prior_entropy: 0.6157, recall: 0.9506, relative_absolute_error: 0.2222, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.6019, scimark_benchmark: 1045.758, usercpu_time_millis: 10143600, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10143590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9875, kappa: 0.9508, kb_relative_information_score: 378.2195, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.9876, predictive_accuracy: 0.9877, prior_entropy: 0.6157, recall: 0.9877, relative_absolute_error: 0.048, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.1111, root_relative_squared_error: 0.3106, scimark_benchmark: 1140.987, usercpu_time_millis: 6650, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 6580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.9617, kappa: 0.8554, kb_relative_information_score: 325.4553, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.9648, predictive_accuracy: 0.9605, prior_entropy: 0.6157, recall: 0.9605, relative_absolute_error: 0.1537, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.5557, scimark_benchmark: 1327.2413, usercpu_time_millis: 5130, usercpu_time_millis_testing: 2950, usercpu_time_millis_training: 2180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9851, kappa: 0.9413, kb_relative_information_score: 373.4228, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.9851, predictive_accuracy: 0.9852, prior_entropy: 0.6157, recall: 0.9852, relative_absolute_error: 0.0576, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.1217, root_relative_squared_error: 0.3403, scimark_benchmark: 1301.2887, usercpu_time_millis: 2940, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 2770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9875, kappa: 0.9508, kb_relative_information_score: 378.2195, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.9876, predictive_accuracy: 0.9877, prior_entropy: 0.6157, recall: 0.9877, relative_absolute_error: 0.048, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.1111, root_relative_squared_error: 0.3106, scimark_benchmark: 1317.1111, usercpu_time_millis: 7610, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 7520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.7802, kb_relative_information_score: -2.936, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.7215, predictive_accuracy: 0.8494, prior_entropy: 0.6157, recall: 0.8494, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.3577, root_relative_squared_error: 1.0001, scimark_benchmark: 1420.9716, usercpu_time_millis: 275160, usercpu_time_millis_testing: 67550, usercpu_time_millis_training: 207610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.948, kappa: 0.796, kb_relative_information_score: 303.3237, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.9478, predictive_accuracy: 0.9481, prior_entropy: 0.6157, recall: 0.9481, relative_absolute_error: 0.2036, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.221, root_relative_squared_error: 0.618, scimark_benchmark: 1278.8121, usercpu_time_millis: 558020, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 557940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.9729, kappa: 0.8946, kb_relative_information_score: 346.9868, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.973, predictive_accuracy: 0.9728, prior_entropy: 0.6157, recall: 0.9728, relative_absolute_error: 0.1157, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.4596, scimark_benchmark: 1332.7291, usercpu_time_millis: 10180, usercpu_time_millis_testing: 9010, usercpu_time_millis_training: 1170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.98, kappa: 0.9207, kb_relative_information_score: 363.8284, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.9801, predictive_accuracy: 0.9802, prior_entropy: 0.6157, recall: 0.9802, relative_absolute_error: 0.0768, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.1405, root_relative_squared_error: 0.3929, scimark_benchmark: 1351.2104, usercpu_time_millis: 155460, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 155430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.9573, kappa: 0.8302, kb_relative_information_score: 316.6447, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.9571, predictive_accuracy: 0.958, prior_entropy: 0.6157, recall: 0.958, relative_absolute_error: 0.1793, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.5521, scimark_benchmark: 923.9579, usercpu_time_millis: 9770, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 9740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.9573, kappa: 0.8302, kb_relative_information_score: 295.6764, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.9571, predictive_accuracy: 0.958, prior_entropy: 0.6157, recall: 0.958, relative_absolute_error: 0.2444, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.2, root_relative_squared_error: 0.5592, scimark_benchmark: 858.649, usercpu_time_millis: 3250, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3220,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.9569, kappa: 0.8373, kb_relative_information_score: 315.8618, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.9601, predictive_accuracy: 0.9556, prior_entropy: 0.6157, recall: 0.9556, relative_absolute_error: 0.1729, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.5894, scimark_benchmark: 1113.1748, usercpu_time_millis: 10010, usercpu_time_millis_testing: 2550, usercpu_time_millis_training: 7460,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9875, kappa: 0.9508, kb_relative_information_score: 378.2195, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.9876, predictive_accuracy: 0.9877, prior_entropy: 0.6157, recall: 0.9877, relative_absolute_error: 0.048, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.1111, root_relative_squared_error: 0.3106, scimark_benchmark: 914.7428, usercpu_time_millis: 6070, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 5900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9876, kappa: 0.9514, kb_relative_information_score: 378.2195, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.9876, predictive_accuracy: 0.9877, prior_entropy: 0.6157, recall: 0.9877, relative_absolute_error: 0.048, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.1111, root_relative_squared_error: 0.3106, scimark_benchmark: 895.2982, usercpu_time_millis: 4500, usercpu_time_millis_testing: 3650, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.9553, kappa: 0.8239, kb_relative_information_score: 313.1137, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.955, predictive_accuracy: 0.9556, prior_entropy: 0.6157, recall: 0.9556, relative_absolute_error: 0.184, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.5665, scimark_benchmark: 882.866, usercpu_time_millis: 5850, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.9825, kappa: 0.9311, kb_relative_information_score: 368.626, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.9826, predictive_accuracy: 0.9827, prior_entropy: 0.6157, recall: 0.9827, relative_absolute_error: 0.0672, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.1315, root_relative_squared_error: 0.3676, scimark_benchmark: 985.6356, usercpu_time_millis: 7880, usercpu_time_millis_testing: 2570, usercpu_time_millis_training: 5310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9583, kappa: 0.8295, kb_relative_information_score: 257.9228, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.9612, predictive_accuracy: 0.9605, prior_entropy: 0.6157, recall: 0.9605, relative_absolute_error: 0.4062, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.18, root_relative_squared_error: 0.5032, scimark_benchmark: 835.9568, usercpu_time_millis: 1700, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.9472, kappa: 0.7903, kb_relative_information_score: 278.254, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.9468, predictive_accuracy: 0.9481, prior_entropy: 0.6157, recall: 0.9481, relative_absolute_error: 0.2769, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.217, root_relative_squared_error: 0.6068, scimark_benchmark: 1115.7114, usercpu_time_millis: 1040, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.9472, kappa: 0.7903, kb_relative_information_score: 278.254, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.9468, predictive_accuracy: 0.9481, prior_entropy: 0.6157, recall: 0.9481, relative_absolute_error: 0.2769, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.217, root_relative_squared_error: 0.6068, scimark_benchmark: 1085.6215, usercpu_time_millis: 1140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.9729, kappa: 0.8946, kb_relative_information_score: 346.9868, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.973, predictive_accuracy: 0.9728, prior_entropy: 0.6157, recall: 0.9728, relative_absolute_error: 0.1157, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.4596, scimark_benchmark: 1091.4782, usercpu_time_millis: 12730, usercpu_time_millis_testing: 12720, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.948, kappa: 0.796, kb_relative_information_score: 301.9024, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.9478, predictive_accuracy: 0.9481, prior_entropy: 0.6157, recall: 0.9481, relative_absolute_error: 0.2058, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.6279, scimark_benchmark: 1427.2311, usercpu_time_millis: 2600, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2560,

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