Task
Supervised Classification on volcanoes-d1

Supervised Classification on volcanoes-d1

Task 9920 Supervised Classification volcanoes-d1 94 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7409, f_measure: 0.9172, kb_relative_information_score: -24173.9642, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.8916, predictive_accuracy: 0.9442, prior_entropy: 0.4126, recall: 0.9442, relative_absolute_error: 1.7184, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1499, root_relative_squared_error: 1.0231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6291, f_measure: 0.9173, kappa: 0.0067, kb_relative_information_score: -565.5876, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.9017, predictive_accuracy: 0.9437, prior_entropy: 0.4126, recall: 0.9437, relative_absolute_error: 0.9055, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.9822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.9172, kb_relative_information_score: 51.3358, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.8916, predictive_accuracy: 0.9442, prior_entropy: 0.4126, recall: 0.9442, relative_absolute_error: 0.9878, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1465, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5067, f_measure: 0.9178, kappa: 0.0227, kb_relative_information_score: 49.0774, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.8959, predictive_accuracy: 0.9433, prior_entropy: 0.4126, recall: 0.9433, relative_absolute_error: 0.9849, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1471, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.9172, kb_relative_information_score: -20.6443, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.8916, predictive_accuracy: 0.9442, prior_entropy: 0.4126, recall: 0.9442, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1465, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.9172, kb_relative_information_score: -1415.3702, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.8916, predictive_accuracy: 0.9442, prior_entropy: 0.4126, recall: 0.9442, relative_absolute_error: 0.9399, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.141, root_relative_squared_error: 0.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6815, f_measure: 0.9197, kappa: 0.0661, kb_relative_information_score: -6826.0798, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.9058, predictive_accuracy: 0.9424, prior_entropy: 0.4126, recall: 0.9424, relative_absolute_error: 1.233, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1564, root_relative_squared_error: 1.0671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6323, f_measure: 0.9178, kappa: 0.0935, kb_relative_information_score: 920.2439, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.9048, predictive_accuracy: 0.935, prior_entropy: 0.4126, recall: 0.935, relative_absolute_error: 0.5952, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.157, root_relative_squared_error: 1.0715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5771, f_measure: 0.92, kappa: 0.1572, kb_relative_information_score: -27996.1276, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.9074, predictive_accuracy: 0.9349, prior_entropy: 0.4126, recall: 0.9349, relative_absolute_error: 1.9154, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1621, root_relative_squared_error: 1.1061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.9172, kb_relative_information_score: -1867.8143, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.8916, predictive_accuracy: 0.9442, prior_entropy: 0.4126, recall: 0.9442, relative_absolute_error: 0.8413, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.9172, kb_relative_information_score: -1637.2838, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.8916, predictive_accuracy: 0.9442, prior_entropy: 0.4126, recall: 0.9442, relative_absolute_error: 0.8445, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.9609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.9186, kappa: 0.053, kb_relative_information_score: -4058.7744, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.9032, predictive_accuracy: 0.9415, prior_entropy: 0.4126, recall: 0.9415, relative_absolute_error: 0.8658, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1483, root_relative_squared_error: 1.0122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.92, kappa: 0.1623, kb_relative_information_score: -2235.2798, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.9054, predictive_accuracy: 0.9351, prior_entropy: 0.4126, recall: 0.9351, relative_absolute_error: 0.953, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1444, root_relative_squared_error: 0.9851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.9172, kb_relative_information_score: -64493.5939, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.8916, predictive_accuracy: 0.9442, prior_entropy: 0.4126, recall: 0.9442, relative_absolute_error: 5.6651, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.3212, root_relative_squared_error: 2.1917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.9172, kb_relative_information_score: -20.6443, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.8916, predictive_accuracy: 0.9442, prior_entropy: 0.4126, recall: 0.9442, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1465, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.9197, kappa: 0.0633, kb_relative_information_score: -1723.7324, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.9065, predictive_accuracy: 0.9425, prior_entropy: 0.4126, recall: 0.9425, relative_absolute_error: 0.8826, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.143, root_relative_squared_error: 0.9756,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.9172, kb_relative_information_score: -20.6443, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.8916, predictive_accuracy: 0.9442, prior_entropy: 0.4126, recall: 0.9442, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1465, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7066, f_measure: 0.9197, kappa: 0.0661, kb_relative_information_score: -4623.7871, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.9058, predictive_accuracy: 0.9424, prior_entropy: 0.4126, recall: 0.9424, relative_absolute_error: 0.8718, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1506, root_relative_squared_error: 1.0278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.9172, kb_relative_information_score: 12.8154, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.8916, predictive_accuracy: 0.9442, prior_entropy: 0.4126, recall: 0.9442, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1465, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.9171, kappa: 0.0413, kb_relative_information_score: -5512.4192, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.8969, predictive_accuracy: 0.9405, prior_entropy: 0.4126, recall: 0.9405, relative_absolute_error: 0.9162, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1534, root_relative_squared_error: 1.0469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5734, f_measure: 0.9172, kappa: 0.0085, kb_relative_information_score: -400.2058, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.8936, predictive_accuracy: 0.9436, prior_entropy: 0.4126, recall: 0.9436, relative_absolute_error: 0.9798, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8149, f_measure: 0.92, kappa: 0.1572, kb_relative_information_score: -2197.8182, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.9074, predictive_accuracy: 0.9349, prior_entropy: 0.4126, recall: 0.9349, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1444, root_relative_squared_error: 0.9851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7383, f_measure: 0.9172, kb_relative_information_score: -25135.6935, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.8916, predictive_accuracy: 0.9442, prior_entropy: 0.4126, recall: 0.9442, relative_absolute_error: 1.7547, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1507, root_relative_squared_error: 1.0282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5031, f_measure: 0.9172, kb_relative_information_score: -64535.7552, mean_absolute_error: 0.2441, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.8916, predictive_accuracy: 0.9442, prior_entropy: 0.4126, recall: 0.9442, relative_absolute_error: 5.6635, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.3227, root_relative_squared_error: 2.2021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8149, f_measure: 0.92, kappa: 0.1572, kb_relative_information_score: -2197.8767, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.9074, predictive_accuracy: 0.9349, prior_entropy: 0.4126, recall: 0.9349, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1444, root_relative_squared_error: 0.9851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7645, f_measure: 0.9207, kappa: 0.0771, kb_relative_information_score: -3715.3289, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.9141, predictive_accuracy: 0.943, prior_entropy: 0.4126, recall: 0.943, relative_absolute_error: 0.912, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1444, root_relative_squared_error: 0.9856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7768, f_measure: 0.9171, kappa: -0.0003, kb_relative_information_score: -2625.288, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.8916, predictive_accuracy: 0.944, prior_entropy: 0.4126, recall: 0.944, relative_absolute_error: 0.9614, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.9674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8159, f_measure: 0.9207, kappa: 0.1567, kb_relative_information_score: -2116.3688, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.9093, predictive_accuracy: 0.9358, prior_entropy: 0.4126, recall: 0.9358, relative_absolute_error: 0.9424, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5024, f_measure: 0.9172, kb_relative_information_score: -64600.7915, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.8916, predictive_accuracy: 0.9442, prior_entropy: 0.4126, recall: 0.9442, relative_absolute_error: 5.6645, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.3228, root_relative_squared_error: 2.2026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5734, f_measure: 0.9173, kappa: 0.0088, kb_relative_information_score: -395.4299, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.8941, predictive_accuracy: 0.9438, prior_entropy: 0.4126, recall: 0.9438, relative_absolute_error: 0.9786, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.9981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9172, kb_relative_information_score: -64692.2669, mean_absolute_error: 0.2443, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.8916, predictive_accuracy: 0.9442, prior_entropy: 0.4126, recall: 0.9442, relative_absolute_error: 5.6666, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.3229, root_relative_squared_error: 2.2035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5226, f_measure: 0.9171, kappa: -0.0003, kb_relative_information_score: -360.0008, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.8916, predictive_accuracy: 0.944, prior_entropy: 0.4126, recall: 0.944, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1467, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7153, f_measure: 0.92, kappa: 0.0779, kb_relative_information_score: -4778.7652, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.9109, predictive_accuracy: 0.9421, prior_entropy: 0.4126, recall: 0.9421, relative_absolute_error: 0.8919, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1481, root_relative_squared_error: 1.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5973, f_measure: 0.9034, kappa: 0.1281, kb_relative_information_score: -2153.2771, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.9069, predictive_accuracy: 0.8999, prior_entropy: 0.4126, recall: 0.8999, relative_absolute_error: 0.9287, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.2001, root_relative_squared_error: 1.3654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5284, f_measure: 0.9215, kappa: 0.0884, kb_relative_information_score: 1646.2403, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.9194, predictive_accuracy: 0.9431, prior_entropy: 0.4126, recall: 0.9431, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1509, root_relative_squared_error: 1.0295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9172, kb_relative_information_score: 1638.7442, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.8916, predictive_accuracy: 0.9442, prior_entropy: 0.4126, recall: 0.9442, relative_absolute_error: 0.5173, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1493, root_relative_squared_error: 1.0191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, f_measure: 0.9172, kappa: 0.0019, kb_relative_information_score: 1638.7442, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.8917, predictive_accuracy: 0.9442, prior_entropy: 0.4126, recall: 0.9442, relative_absolute_error: 0.5173, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1493, root_relative_squared_error: 1.0191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5291, f_measure: 0.9212, kappa: 0.0884, kb_relative_information_score: 1592.4488, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.9155, predictive_accuracy: 0.9425, prior_entropy: 0.4126, recall: 0.9425, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1516, root_relative_squared_error: 1.0346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4905, f_measure: 0.6201, kappa: -0.0006, kb_relative_information_score: -39753.5976, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.8908, predictive_accuracy: 0.4806, prior_entropy: 0.4126, recall: 0.4806, relative_absolute_error: 4.8194, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.4558, root_relative_squared_error: 3.1103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9171, kappa: -0.0003, kb_relative_information_score: 1618.2071, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.8916, predictive_accuracy: 0.944, prior_entropy: 0.4126, recall: 0.944, relative_absolute_error: 0.5195, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1496, root_relative_squared_error: 1.0212, usercpu_time_millis: 1191.271, usercpu_time_millis_testing: 241.912, usercpu_time_millis_training: 949.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9172, kb_relative_information_score: 1638.7442, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.8916, predictive_accuracy: 0.9442, prior_entropy: 0.4126, recall: 0.9442, relative_absolute_error: 0.5173, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1493, root_relative_squared_error: 1.0191, usercpu_time_millis: 296364.567, usercpu_time_millis_testing: 2.914, usercpu_time_millis_training: 296361.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9172, kb_relative_information_score: 1638.7442, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.8916, predictive_accuracy: 0.9442, prior_entropy: 0.4126, recall: 0.9442, relative_absolute_error: 0.5173, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1493, root_relative_squared_error: 1.0191, usercpu_time_millis: 10.155, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 9.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.524, f_measure: 0.9199, kappa: 0.0703, kb_relative_information_score: 1526.8834, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.9118, predictive_accuracy: 0.9421, prior_entropy: 0.4126, recall: 0.9421, relative_absolute_error: 0.5375, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1522, root_relative_squared_error: 1.0387, usercpu_time_millis: 735.821, usercpu_time_millis_testing: 68.975, usercpu_time_millis_training: 666.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5083, f_measure: 0.9182, kappa: 0.0263, kb_relative_information_score: 1593.804, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.9063, predictive_accuracy: 0.9434, prior_entropy: 0.4126, recall: 0.9434, relative_absolute_error: 0.5248, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1504, root_relative_squared_error: 1.0264, usercpu_time_millis: 12.982, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 12.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9172, kb_relative_information_score: 1638.7442, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.8916, predictive_accuracy: 0.9442, prior_entropy: 0.4126, recall: 0.9442, relative_absolute_error: 0.5173, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1493, root_relative_squared_error: 1.0191, usercpu_time_millis: 35.185, usercpu_time_millis_testing: 0.887, usercpu_time_millis_training: 34.298,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5194, f_measure: 0.9193, kappa: 0.0551, kb_relative_information_score: 1543.4654, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.913, predictive_accuracy: 0.9425, prior_entropy: 0.4126, recall: 0.9425, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1516, root_relative_squared_error: 1.0346, usercpu_time_millis: 29.66, usercpu_time_millis_testing: 0.551, usercpu_time_millis_training: 29.109,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5784, f_measure: 0.9201, kappa: 0.1579, kb_relative_information_score: 917.6098, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.9075, predictive_accuracy: 0.9351, prior_entropy: 0.4126, recall: 0.9351, relative_absolute_error: 0.6022, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1611, root_relative_squared_error: 1.0994, usercpu_time_millis: 2.12, usercpu_time_millis_testing: 1.998, usercpu_time_millis_training: 0.122,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5475, f_measure: 0.9188, kappa: 0.1043, kb_relative_information_score: 1065.2932, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.9037, predictive_accuracy: 0.9371, prior_entropy: 0.4126, recall: 0.9371, relative_absolute_error: 0.5841, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1587, root_relative_squared_error: 1.0829, usercpu_time_millis: 27.124, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 27.011,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5745, f_measure: 0.9061, kappa: 0.1069, kb_relative_information_score: -1466.671, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.9038, predictive_accuracy: 0.9085, prior_entropy: 0.4126, recall: 0.9085, relative_absolute_error: 0.8533, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1913, root_relative_squared_error: 1.3052, scimark_benchmark: 1220.6248, usercpu_time_millis: 4340, usercpu_time_millis_testing: 4340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.9173, kappa: 0.0128, kb_relative_information_score: -2307.6464, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.8971, predictive_accuracy: 0.943, prior_entropy: 0.4126, recall: 0.943, relative_absolute_error: 0.9073, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.142, root_relative_squared_error: 0.969, scimark_benchmark: 1190.0822, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8149, f_measure: 0.9175, kappa: 0.011, kb_relative_information_score: -1569.6634, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.8942, predictive_accuracy: 0.944, prior_entropy: 0.4126, recall: 0.944, relative_absolute_error: 0.8444, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.9525, scimark_benchmark: 1230.0011, usercpu_time_millis: 2260, usercpu_time_millis_testing: 2260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5745, f_measure: 0.9061, kappa: 0.1069, kb_relative_information_score: -1466.671, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.9038, predictive_accuracy: 0.9085, prior_entropy: 0.4126, recall: 0.9085, relative_absolute_error: 0.8533, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1913, root_relative_squared_error: 1.3052, scimark_benchmark: 473.1656, usercpu_time_millis: 12310, usercpu_time_millis_testing: 12300, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8163, f_measure: 0.9171, kappa: 0.0115, kb_relative_information_score: -1996.8559, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.8923, predictive_accuracy: 0.9433, prior_entropy: 0.4126, recall: 0.9433, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.9536, scimark_benchmark: 1254.1389, usercpu_time_millis: 350, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5734, f_measure: 0.9173, kappa: 0.0088, kb_relative_information_score: -395.4299, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.8941, predictive_accuracy: 0.9438, prior_entropy: 0.4126, recall: 0.9438, relative_absolute_error: 0.9786, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.9981, scimark_benchmark: 473.1656, usercpu_time_millis: 260, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.9172, kb_relative_information_score: -20.6443, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.8916, predictive_accuracy: 0.9442, prior_entropy: 0.4126, recall: 0.9442, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1465, root_relative_squared_error: 1, scimark_benchmark: 473.1656, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7371, f_measure: 0.9172, kb_relative_information_score: -2243.951, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.8916, predictive_accuracy: 0.9442, prior_entropy: 0.4126, recall: 0.9442, relative_absolute_error: 0.9236, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.9639, scimark_benchmark: 473.1656, usercpu_time_millis: 130, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8149, f_measure: 0.92, kappa: 0.1572, kb_relative_information_score: -2197.8767, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.9074, predictive_accuracy: 0.9349, prior_entropy: 0.4126, recall: 0.9349, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1444, root_relative_squared_error: 0.9851, scimark_benchmark: 1230.3004, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4886, f_measure: 0.2864, kappa: 0.0045, kb_relative_information_score: -68284.2083, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.8973, predictive_accuracy: 0.1858, prior_entropy: 0.4126, recall: 0.1858, relative_absolute_error: 7.5946, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.5624, root_relative_squared_error: 3.8375, scimark_benchmark: 1230.3004, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8149, f_measure: 0.92, kappa: 0.1572, kb_relative_information_score: -2197.8767, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.9074, predictive_accuracy: 0.9349, prior_entropy: 0.4126, recall: 0.9349, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1444, root_relative_squared_error: 0.9851, scimark_benchmark: 1230.3004, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7932, f_measure: 0.9172, kb_relative_information_score: -1949.7497, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.8916, predictive_accuracy: 0.9442, prior_entropy: 0.4126, recall: 0.9442, relative_absolute_error: 0.9079, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.9564, scimark_benchmark: 1230.3004, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.9172, kb_relative_information_score: -20.6443, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.8916, predictive_accuracy: 0.9442, prior_entropy: 0.4126, recall: 0.9442, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1465, root_relative_squared_error: 1, scimark_benchmark: 1241.5236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5734, f_measure: 0.9173, kappa: 0.0088, kb_relative_information_score: -395.4299, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.0431, number_of_instances: 8753, precision: 0.8941, predictive_accuracy: 0.9438, prior_entropy: 0.4126, recall: 0.9438, relative_absolute_error: 0.9786, root_mean_prior_squared_error: 0.1465, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.9981,

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