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: 0.8775, f_measure: 0.8024, kappa: 0.6015, kb_relative_information_score: 1485.4853, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8029, predictive_accuracy: 0.803, prior_entropy: 0.9948, recall: 0.803, relative_absolute_error: 0.6437, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.7621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, f_measure: 0.7751, kappa: 0.5482, kb_relative_information_score: 1474.9288, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7765, predictive_accuracy: 0.7747, prior_entropy: 0.9948, recall: 0.7747, relative_absolute_error: 0.6342, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.8019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.8024, kappa: 0.6015, kb_relative_information_score: 1485.4853, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8029, predictive_accuracy: 0.803, prior_entropy: 0.9948, recall: 0.803, relative_absolute_error: 0.6437, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.7621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.784, kappa: 0.5642, kb_relative_information_score: 1152.5108, mean_absolute_error: 0.3652, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7844, predictive_accuracy: 0.7846, prior_entropy: 0.9948, recall: 0.7846, relative_absolute_error: 0.7356, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.7798, kappa: 0.5558, kb_relative_information_score: 1142.2457, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.78, predictive_accuracy: 0.7803, prior_entropy: 0.9948, recall: 0.7803, relative_absolute_error: 0.7375, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.8008, kappa: 0.5981, kb_relative_information_score: 1316.0839, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8014, predictive_accuracy: 0.8014, prior_entropy: 0.9948, recall: 0.8014, relative_absolute_error: 0.6926, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.7886, kappa: 0.5739, kb_relative_information_score: 1358.4924, mean_absolute_error: 0.3341, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7886, predictive_accuracy: 0.7889, prior_entropy: 0.9948, recall: 0.7889, relative_absolute_error: 0.673, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.7915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.8022, kappa: 0.6009, kb_relative_information_score: 1317.9267, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8026, predictive_accuracy: 0.8027, prior_entropy: 0.9948, recall: 0.8027, relative_absolute_error: 0.6923, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3885, root_relative_squared_error: 0.7798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.7787, kappa: 0.5535, kb_relative_information_score: 1370.7761, mean_absolute_error: 0.3318, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.779, predictive_accuracy: 0.7793, prior_entropy: 0.9948, recall: 0.7793, relative_absolute_error: 0.6685, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.7904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.7992, kappa: 0.5948, kb_relative_information_score: 914.0905, mean_absolute_error: 0.3976, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8003, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.801, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.8346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.802, kappa: 0.6005, kb_relative_information_score: 976.9556, mean_absolute_error: 0.3901, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8029, predictive_accuracy: 0.8027, prior_entropy: 0.9948, recall: 0.8027, relative_absolute_error: 0.7857, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8041, kappa: 0.6051, kb_relative_information_score: 1577.5169, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8041, predictive_accuracy: 0.8043, prior_entropy: 0.9948, recall: 0.8043, relative_absolute_error: 0.6156, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.376, root_relative_squared_error: 0.7547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.8042, kappa: 0.6053, kb_relative_information_score: 1587.0635, mean_absolute_error: 0.3041, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8041, predictive_accuracy: 0.8043, prior_entropy: 0.9948, recall: 0.8043, relative_absolute_error: 0.6125, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.376, root_relative_squared_error: 0.7548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.7962, kappa: 0.5888, kb_relative_information_score: 1156.4744, mean_absolute_error: 0.3649, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7969, predictive_accuracy: 0.7969, prior_entropy: 0.9948, recall: 0.7969, relative_absolute_error: 0.735, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8678, f_measure: 0.7964, kappa: 0.5893, kb_relative_information_score: 1170.2638, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7971, predictive_accuracy: 0.7971, prior_entropy: 0.9948, recall: 0.7971, relative_absolute_error: 0.7314, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.7925, kappa: 0.5814, kb_relative_information_score: 1136.2826, mean_absolute_error: 0.3676, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.793, predictive_accuracy: 0.7931, prior_entropy: 0.9948, recall: 0.7931, relative_absolute_error: 0.7405, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8804, f_measure: 0.8112, kappa: 0.6196, kb_relative_information_score: 1611.529, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8112, predictive_accuracy: 0.8113, prior_entropy: 0.9948, recall: 0.8113, relative_absolute_error: 0.6069, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.7504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, f_measure: 0.8107, kappa: 0.6183, kb_relative_information_score: 1976.8345, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8108, predictive_accuracy: 0.811, prior_entropy: 0.9948, recall: 0.811, relative_absolute_error: 0.4952, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.7442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8776, f_measure: 0.8053, kappa: 0.6075, kb_relative_information_score: 1574.7861, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8052, predictive_accuracy: 0.8054, prior_entropy: 0.9948, recall: 0.8054, relative_absolute_error: 0.6164, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.7465, kappa: 0.4893, kb_relative_information_score: 1429.6714, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7465, predictive_accuracy: 0.7465, prior_entropy: 0.9948, recall: 0.7465, relative_absolute_error: 0.6385, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.8014, kappa: 0.5997, kb_relative_information_score: 1550.5789, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8014, predictive_accuracy: 0.8017, prior_entropy: 0.9948, recall: 0.8017, relative_absolute_error: 0.6217, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3804, root_relative_squared_error: 0.7635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.8043, kappa: 0.6056, kb_relative_information_score: 1590.4329, mean_absolute_error: 0.3037, 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: 0.6117, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.7551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, f_measure: 0.8034, kappa: 0.6038, kb_relative_information_score: 1578.9149, mean_absolute_error: 0.3054, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8034, predictive_accuracy: 0.8035, prior_entropy: 0.9948, recall: 0.8035, relative_absolute_error: 0.6153, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.7543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.8092, kappa: 0.6152, kb_relative_information_score: 1023.1666, mean_absolute_error: 0.3848, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8095, predictive_accuracy: 0.8097, prior_entropy: 0.9948, recall: 0.8097, relative_absolute_error: 0.7752, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.8057, kappa: 0.6083, kb_relative_information_score: 1581.2405, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8057, predictive_accuracy: 0.8059, prior_entropy: 0.9948, recall: 0.8059, relative_absolute_error: 0.6147, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.7537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.7465, kappa: 0.4893, kb_relative_information_score: 1429.6714, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7465, predictive_accuracy: 0.7465, prior_entropy: 0.9948, recall: 0.7465, relative_absolute_error: 0.6385, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, f_measure: 0.7998, kappa: 0.5964, kb_relative_information_score: 1550.3797, mean_absolute_error: 0.3087, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7998, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.6218, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.6869, kappa: 0.3919, kb_relative_information_score: 1418.9602, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7177, predictive_accuracy: 0.6902, prior_entropy: 0.9948, recall: 0.6902, relative_absolute_error: 0.6197, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.477, root_relative_squared_error: 0.9574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7475, f_measure: 0.675, kappa: 0.3734, kb_relative_information_score: 1364.2756, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7126, predictive_accuracy: 0.6798, prior_entropy: 0.9948, recall: 0.6798, relative_absolute_error: 0.6342, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4766, root_relative_squared_error: 0.9566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.7451, kappa: 0.4859, kb_relative_information_score: 1479.2162, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7452, predictive_accuracy: 0.7457, prior_entropy: 0.9948, recall: 0.7457, relative_absolute_error: 0.617, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.8904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.7669, kappa: 0.5299, kb_relative_information_score: 1486.6406, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7669, predictive_accuracy: 0.7673, prior_entropy: 0.9948, recall: 0.7673, relative_absolute_error: 0.6261, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.8127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.781, kappa: 0.561, kb_relative_information_score: 1497.1366, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7839, predictive_accuracy: 0.7806, prior_entropy: 0.9948, recall: 0.7806, relative_absolute_error: 0.6275, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.7974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.7736, kappa: 0.5445, kb_relative_information_score: 1444.0004, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.774, predictive_accuracy: 0.7734, prior_entropy: 0.9948, recall: 0.7734, relative_absolute_error: 0.6434, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.7978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.7886, kappa: 0.5751, kb_relative_information_score: 1513.0967, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7896, predictive_accuracy: 0.7883, prior_entropy: 0.9948, recall: 0.7883, relative_absolute_error: 0.6254, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.7835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8436, f_measure: 0.7734, kappa: 0.5442, kb_relative_information_score: 1377.7942, mean_absolute_error: 0.3288, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.774, predictive_accuracy: 0.7731, prior_entropy: 0.9948, recall: 0.7731, relative_absolute_error: 0.6623, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, f_measure: 0.7229, kappa: 0.4414, kb_relative_information_score: 1134.4026, mean_absolute_error: 0.3584, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7228, predictive_accuracy: 0.723, prior_entropy: 0.9948, recall: 0.723, relative_absolute_error: 0.7219, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.8576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.8018, kappa: 0.6001, kb_relative_information_score: 918.9551, mean_absolute_error: 0.3974, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.804, predictive_accuracy: 0.803, prior_entropy: 0.9948, recall: 0.803, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4146, root_relative_squared_error: 0.8322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.7567, kappa: 0.5101, kb_relative_information_score: 1260.5671, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7568, predictive_accuracy: 0.7566, prior_entropy: 0.9948, recall: 0.7566, relative_absolute_error: 0.6928, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.798, kappa: 0.5925, kb_relative_information_score: 872.5396, mean_absolute_error: 0.4029, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8011, predictive_accuracy: 0.7995, prior_entropy: 0.9948, recall: 0.7995, relative_absolute_error: 0.8116, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.7282, kappa: 0.4529, kb_relative_information_score: 1260.2419, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7284, predictive_accuracy: 0.7281, prior_entropy: 0.9948, recall: 0.7281, relative_absolute_error: 0.6858, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.8502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.8012, kappa: 0.5988, kb_relative_information_score: 900.5548, mean_absolute_error: 0.3996, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8028, predictive_accuracy: 0.8022, prior_entropy: 0.9948, recall: 0.8022, relative_absolute_error: 0.805, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.8352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.7773, kappa: 0.5507, kb_relative_information_score: 1270.435, mean_absolute_error: 0.3461, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7777, predictive_accuracy: 0.7779, prior_entropy: 0.9948, recall: 0.7779, relative_absolute_error: 0.6973, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.7966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8043, f_measure: 0.7544, kappa: 0.5047, kb_relative_information_score: 1617.8925, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7543, predictive_accuracy: 0.7547, prior_entropy: 0.9948, recall: 0.7547, relative_absolute_error: 0.5775, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.8694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.7778, kappa: 0.5518, kb_relative_information_score: 1468.1565, mean_absolute_error: 0.3195, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7779, predictive_accuracy: 0.7782, prior_entropy: 0.9948, recall: 0.7782, relative_absolute_error: 0.6435, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.7992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.7877, kappa: 0.5717, kb_relative_information_score: 1272.7343, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7887, predictive_accuracy: 0.7886, prior_entropy: 0.9948, recall: 0.7886, relative_absolute_error: 0.6981, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.7937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.7465, kappa: 0.4893, kb_relative_information_score: 1429.6714, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7465, predictive_accuracy: 0.7465, prior_entropy: 0.9948, recall: 0.7465, relative_absolute_error: 0.6385, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8379,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7652, kappa: 0.5282, kb_relative_information_score: 1450.2726, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7664, predictive_accuracy: 0.7649, prior_entropy: 0.9948, recall: 0.7649, relative_absolute_error: 0.6387, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.7695, kappa: 0.5367, kb_relative_information_score: 1476.5201, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7706, predictive_accuracy: 0.7691, prior_entropy: 0.9948, recall: 0.7691, relative_absolute_error: 0.6325, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.8021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.774, kappa: 0.5464, kb_relative_information_score: 1470.0667, mean_absolute_error: 0.3151, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7759, predictive_accuracy: 0.7737, prior_entropy: 0.9948, recall: 0.7737, relative_absolute_error: 0.6347, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.8057, kappa: 0.6083, kb_relative_information_score: 1533.2028, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8057, predictive_accuracy: 0.8059, prior_entropy: 0.9948, recall: 0.8059, relative_absolute_error: 0.6286, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.741, kappa: 0.4781, kb_relative_information_score: 1224.7554, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.741, predictive_accuracy: 0.7411, prior_entropy: 0.9948, recall: 0.7411, relative_absolute_error: 0.7043, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4179, root_relative_squared_error: 0.8388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.7465, kappa: 0.4893, kb_relative_information_score: 1429.6714, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7465, predictive_accuracy: 0.7465, prior_entropy: 0.9948, recall: 0.7465, relative_absolute_error: 0.6385, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8089, kappa: 0.6146, kb_relative_information_score: 1853.6246, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8089, predictive_accuracy: 0.8091, prior_entropy: 0.9948, recall: 0.8091, relative_absolute_error: 0.538, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.7393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.7418, kappa: 0.4797, kb_relative_information_score: 1223.3173, mean_absolute_error: 0.3499, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7417, predictive_accuracy: 0.7419, prior_entropy: 0.9948, recall: 0.7419, relative_absolute_error: 0.7047, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4179, root_relative_squared_error: 0.8388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.7465, kappa: 0.4893, kb_relative_information_score: 1429.6714, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7465, predictive_accuracy: 0.7465, prior_entropy: 0.9948, recall: 0.7465, relative_absolute_error: 0.6385, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8379,

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

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From your own software

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

OpenML APIs