Task
Supervised Classification on steel-plates-fault

Supervised Classification on steel-plates-fault

Task 9967 Supervised Classification steel-plates-fault 142880 runs submitted
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  • OpenML100 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7037, f_measure: 0.6739, kappa: 0.2665, kb_relative_information_score: 282.0652, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7069, predictive_accuracy: 0.7115, prior_entropy: 0.9313, recall: 0.7115, relative_absolute_error: 0.852, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.9226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.992, kb_relative_information_score: 1499.9918, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9313, recall: 0.9964, relative_absolute_error: 0.2888, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.3291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.5163, kb_relative_information_score: -127.3325, mean_absolute_error: 0.4686, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0342, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4744, root_relative_squared_error: 0.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.5163, kb_relative_information_score: -186.1805, mean_absolute_error: 0.4766, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0519, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.479, root_relative_squared_error: 1.0066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.5163, kb_relative_information_score: -226.4459, mean_absolute_error: 0.4827, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0654, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4857, root_relative_squared_error: 1.0205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1925.943, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9313, recall: 0.9995, relative_absolute_error: 0.0102, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0232, root_relative_squared_error: 0.0487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.692, kappa: 0.3077, kb_relative_information_score: 405.6957, mean_absolute_error: 0.3652, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7343, predictive_accuracy: 0.7285, prior_entropy: 0.9313, recall: 0.7285, relative_absolute_error: 0.8061, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.414, root_relative_squared_error: 0.8698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.8351, kappa: 0.6271, kb_relative_information_score: 608.3365, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8574, predictive_accuracy: 0.8449, prior_entropy: 0.9313, recall: 0.8449, relative_absolute_error: 0.7421, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.369, root_relative_squared_error: 0.7753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.7119, kappa: 0.354, kb_relative_information_score: 303.0555, mean_absolute_error: 0.3966, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7716, predictive_accuracy: 0.7486, prior_entropy: 0.9313, recall: 0.7486, relative_absolute_error: 0.8753, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.7013, kappa: 0.3256, kb_relative_information_score: 418.4633, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7266, predictive_accuracy: 0.7295, prior_entropy: 0.9313, recall: 0.7295, relative_absolute_error: 0.7947, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.413, root_relative_squared_error: 0.8677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.7788, kappa: 0.4998, kb_relative_information_score: 651.0868, mean_absolute_error: 0.3198, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8001, predictive_accuracy: 0.7939, prior_entropy: 0.9313, recall: 0.7939, relative_absolute_error: 0.7059, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1850.4563, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9313, recall: 0.9995, relative_absolute_error: 0.063, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0494, root_relative_squared_error: 0.1037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6754, f_measure: 0.6278, kappa: 0.1805, kb_relative_information_score: 134.144, mean_absolute_error: 0.4151, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7053, predictive_accuracy: 0.694, prior_entropy: 0.9313, recall: 0.694, relative_absolute_error: 0.9161, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4508, root_relative_squared_error: 0.9472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7047, f_measure: 0.5767, kappa: 0.081, kb_relative_information_score: 141.6413, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.641, predictive_accuracy: 0.6641, prior_entropy: 0.9313, recall: 0.6641, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5163, kb_relative_information_score: -4.7145, mean_absolute_error: 0.4536, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 1925.095, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9313, recall: 0.999, relative_absolute_error: 0.0103, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0316, root_relative_squared_error: 0.0663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9622, kappa: 0.9164, kb_relative_information_score: 1055.7876, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9624, predictive_accuracy: 0.9624, prior_entropy: 0.9313, recall: 0.9624, relative_absolute_error: 0.5299, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.5733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.8959, kappa: 0.7663, kb_relative_information_score: 875.1301, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9012, predictive_accuracy: 0.8985, prior_entropy: 0.9313, recall: 0.8985, relative_absolute_error: 0.6075, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9985, kappa: 0.9966, kb_relative_information_score: 1618.5075, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9313, recall: 0.9985, relative_absolute_error: 0.2177, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1222, root_relative_squared_error: 0.2567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, f_measure: 0.6764, kappa: 0.2712, kb_relative_information_score: 308.3115, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7049, predictive_accuracy: 0.7115, prior_entropy: 0.9313, recall: 0.7115, relative_absolute_error: 0.8419, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.9132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7777, f_measure: 0.5163, kb_relative_information_score: 13.4566, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4623, root_relative_squared_error: 0.9714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 1588.2675, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9313, recall: 0.999, relative_absolute_error: 0.2373, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1297, root_relative_squared_error: 0.2726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.5163, kb_relative_information_score: -1.8438, mean_absolute_error: 0.4532, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7721, f_measure: 0.7136, kappa: 0.3526, kb_relative_information_score: 368.041, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7205, predictive_accuracy: 0.73, prior_entropy: 0.9313, recall: 0.73, relative_absolute_error: 0.8183, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4254, root_relative_squared_error: 0.8938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.844, kappa: 0.6509, kb_relative_information_score: 891.6322, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8454, predictive_accuracy: 0.847, prior_entropy: 0.9313, recall: 0.847, relative_absolute_error: 0.5734, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.7058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9969, kappa: 0.9932, kb_relative_information_score: 1452.3809, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.9313, recall: 0.9969, relative_absolute_error: 0.3167, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.3654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 1672.7184, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9313, recall: 0.999, relative_absolute_error: 0.1823, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1077, root_relative_squared_error: 0.2264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9871, kappa: 0.9716, kb_relative_information_score: 1546.5823, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9872, predictive_accuracy: 0.9871, prior_entropy: 0.9313, recall: 0.9871, relative_absolute_error: 0.2533, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1531, root_relative_squared_error: 0.3217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9954, kappa: 0.9897, kb_relative_information_score: 1662.7864, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 0.9313, recall: 0.9954, relative_absolute_error: 0.1858, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 1743.1686, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9313, recall: 0.999, relative_absolute_error: 0.1369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.1734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 1933.0024, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9313, recall: 0.999, relative_absolute_error: 0.0046, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0301, root_relative_squared_error: 0.0633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7491, f_measure: 0.6904, kappa: 0.303, kb_relative_information_score: 397.3531, mean_absolute_error: 0.3593, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6891, predictive_accuracy: 0.7012, prior_entropy: 0.9313, recall: 0.7012, relative_absolute_error: 0.7931, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.9184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5163, kb_relative_information_score: -337.0091, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.1036, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1905.1746, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9313, recall: 0.9995, relative_absolute_error: 0.0247, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.032, root_relative_squared_error: 0.0672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5163, kb_relative_information_score: -337.0091, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.1036, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 1904.9416, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9313, recall: 0.999, relative_absolute_error: 0.0249, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0351, root_relative_squared_error: 0.0737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.7194, kappa: 0.368, kb_relative_information_score: 488.9672, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7624, predictive_accuracy: 0.7501, prior_entropy: 0.9313, recall: 0.7501, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 1917.5605, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9313, recall: 0.999, relative_absolute_error: 0.0158, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0329, root_relative_squared_error: 0.0691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.8437, kappa: 0.6504, kb_relative_information_score: 809.1306, mean_absolute_error: 0.2823, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8448, predictive_accuracy: 0.8465, prior_entropy: 0.9313, recall: 0.8465, relative_absolute_error: 0.6231, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.7109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9231, kappa: 0.8299, kb_relative_information_score: 1064.5489, mean_absolute_error: 0.2289, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.923, predictive_accuracy: 0.9232, prior_entropy: 0.9313, recall: 0.9232, relative_absolute_error: 0.5051, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2813, root_relative_squared_error: 0.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, f_measure: 0.6737, kappa: 0.2667, kb_relative_information_score: 272.2454, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7097, predictive_accuracy: 0.7125, prior_entropy: 0.9313, recall: 0.7125, relative_absolute_error: 0.8565, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.9248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.701, f_measure: 0.6749, kappa: 0.2687, kb_relative_information_score: 278.3267, mean_absolute_error: 0.3868, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7073, predictive_accuracy: 0.712, prior_entropy: 0.9313, recall: 0.712, relative_absolute_error: 0.8537, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.9234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.7509, kappa: 0.4376, kb_relative_information_score: 370.9452, mean_absolute_error: 0.3855, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.788, predictive_accuracy: 0.7743, prior_entropy: 0.9313, recall: 0.7743, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9716, kappa: 0.9373, kb_relative_information_score: 1513.2701, mean_absolute_error: 0.1195, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9716, predictive_accuracy: 0.9717, prior_entropy: 0.9313, recall: 0.9717, relative_absolute_error: 0.2637, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.3737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9933, kappa: 0.9852, kb_relative_information_score: 1332.534, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 0.9313, recall: 0.9933, relative_absolute_error: 0.3838, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.4362,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9882, kappa: 0.9739, kb_relative_information_score: 1847.6147, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9882, predictive_accuracy: 0.9882, prior_entropy: 0.9313, recall: 0.9882, relative_absolute_error: 0.0513, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1039, root_relative_squared_error: 0.2184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9866, kappa: 0.9705, kb_relative_information_score: 1841.2982, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9866, predictive_accuracy: 0.9866, prior_entropy: 0.9313, recall: 0.9866, relative_absolute_error: 0.0554, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1052, root_relative_squared_error: 0.2211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9882, kappa: 0.9739, kb_relative_information_score: 1887.7956, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9882, predictive_accuracy: 0.9882, prior_entropy: 0.9313, recall: 0.9882, relative_absolute_error: 0.0262, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.2287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9882, kappa: 0.9739, kb_relative_information_score: 1847.6147, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9882, predictive_accuracy: 0.9882, prior_entropy: 0.9313, recall: 0.9882, relative_absolute_error: 0.0513, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1039, root_relative_squared_error: 0.2184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9861, kappa: 0.9693, kb_relative_information_score: 1835.066, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9861, predictive_accuracy: 0.9861, prior_entropy: 0.9313, recall: 0.9861, relative_absolute_error: 0.0594, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1067, root_relative_squared_error: 0.2242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9861, kappa: 0.9693, kb_relative_information_score: 1823.003, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9861, predictive_accuracy: 0.9861, prior_entropy: 0.9313, recall: 0.9861, relative_absolute_error: 0.0671, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1096, root_relative_squared_error: 0.2302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9835, kappa: 0.9637, kb_relative_information_score: 1738.8244, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9836, predictive_accuracy: 0.9835, prior_entropy: 0.9313, recall: 0.9835, relative_absolute_error: 0.1183, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.2766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9846, kappa: 0.966, kb_relative_information_score: 1782.8511, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9846, predictive_accuracy: 0.9845, prior_entropy: 0.9313, recall: 0.9845, relative_absolute_error: 0.0921, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1201, root_relative_squared_error: 0.2524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9835, kappa: 0.9637, kb_relative_information_score: 1744.2829, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9836, predictive_accuracy: 0.9835, prior_entropy: 0.9313, recall: 0.9835, relative_absolute_error: 0.1151, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9861, kappa: 0.9693, kb_relative_information_score: 1823.003, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9861, predictive_accuracy: 0.9861, prior_entropy: 0.9313, recall: 0.9861, relative_absolute_error: 0.0671, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1096, root_relative_squared_error: 0.2302,

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