OpenML
Supervised Classification on micro-mass

Supervised Classification on micro-mass

Task 9950 Supervised Classification micro-mass 13738 runs submitted
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  • OpenML100 study_123 study_14 study_7
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13738 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, kappa: 0.7304, kb_relative_information_score: 433.1026, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7461, prior_entropy: 4.208, recall: 0.7461, relative_absolute_error: 0.3404, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.6282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, f_measure: 0.7685, kappa: 0.7497, kb_relative_information_score: 443.2658, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7806, predictive_accuracy: 0.7653, prior_entropy: 4.208, recall: 0.7653, relative_absolute_error: 0.2952, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1345, root_relative_squared_error: 0.6201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.7452, kappa: 0.7234, kb_relative_information_score: 430.1464, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7632, predictive_accuracy: 0.7408, prior_entropy: 4.208, recall: 0.7408, relative_absolute_error: 0.3336, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.6375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, kappa: 0.7193, kb_relative_information_score: 424.567, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7356, prior_entropy: 4.208, recall: 0.7356, relative_absolute_error: 0.3569, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1401, root_relative_squared_error: 0.6459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, kappa: 0.7176, kb_relative_information_score: 422.0342, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7338, prior_entropy: 4.208, recall: 0.7338, relative_absolute_error: 0.3625, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.767, kappa: 0.7462, kb_relative_information_score: 448.8972, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7855, predictive_accuracy: 0.7618, prior_entropy: 4.208, recall: 0.7618, relative_absolute_error: 0.2888, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1325, root_relative_squared_error: 0.6109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.771, kappa: 0.7538, kb_relative_information_score: 442.1977, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7803, predictive_accuracy: 0.7688, prior_entropy: 4.208, recall: 0.7688, relative_absolute_error: 0.2766, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1385, root_relative_squared_error: 0.6387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, kappa: 0.7176, kb_relative_information_score: 422.8234, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7338, prior_entropy: 4.208, recall: 0.7338, relative_absolute_error: 0.3601, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.6519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, kappa: 0.7248, kb_relative_information_score: 431.0746, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7408, prior_entropy: 4.208, recall: 0.7408, relative_absolute_error: 0.344, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.6357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.7497, kappa: 0.7291, kb_relative_information_score: 429.8776, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7671, predictive_accuracy: 0.7461, prior_entropy: 4.208, recall: 0.7461, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.6355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.7862, kappa: 0.7705, kb_relative_information_score: 443.1381, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7975, predictive_accuracy: 0.7846, prior_entropy: 4.208, recall: 0.7846, relative_absolute_error: 0.2528, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.6359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, kappa: 0.7157, kb_relative_information_score: 422.2245, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.732, prior_entropy: 4.208, recall: 0.732, relative_absolute_error: 0.362, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.7513, kappa: 0.7297, kb_relative_information_score: 450.0322, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7716, predictive_accuracy: 0.7461, prior_entropy: 4.208, recall: 0.7461, relative_absolute_error: 0.3043, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1308, root_relative_squared_error: 0.6031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.7516, kappa: 0.7296, kb_relative_information_score: 452.9611, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7708, predictive_accuracy: 0.7461, prior_entropy: 4.208, recall: 0.7461, relative_absolute_error: 0.2959, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.5924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, kappa: 0.7324, kb_relative_information_score: 434.7455, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7478, prior_entropy: 4.208, recall: 0.7478, relative_absolute_error: 0.34, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1359, root_relative_squared_error: 0.6264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.772, kappa: 0.7523, kb_relative_information_score: 446.4334, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7836, predictive_accuracy: 0.7671, prior_entropy: 4.208, recall: 0.7671, relative_absolute_error: 0.2542, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1405, root_relative_squared_error: 0.6478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.7507, kappa: 0.7332, kb_relative_information_score: 438.9545, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.775, predictive_accuracy: 0.7496, prior_entropy: 4.208, recall: 0.7496, relative_absolute_error: 0.3112, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.135, root_relative_squared_error: 0.6225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.7518, kappa: 0.7332, kb_relative_information_score: 432.5767, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7668, predictive_accuracy: 0.7496, prior_entropy: 4.208, recall: 0.7496, relative_absolute_error: 0.3384, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1377, root_relative_squared_error: 0.6349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.7853, kappa: 0.7708, kb_relative_information_score: 443.7276, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7912, predictive_accuracy: 0.7846, prior_entropy: 4.208, recall: 0.7846, relative_absolute_error: 0.2376, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.6533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.7468, kappa: 0.7253, kb_relative_information_score: 432.4193, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7639, predictive_accuracy: 0.7426, prior_entropy: 4.208, recall: 0.7426, relative_absolute_error: 0.3293, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.137, root_relative_squared_error: 0.6318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, kappa: 0.7194, kb_relative_information_score: 421.2162, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7356, prior_entropy: 4.208, recall: 0.7356, relative_absolute_error: 0.3717, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.6518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.7881, kappa: 0.773, kb_relative_information_score: 447.9081, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7962, predictive_accuracy: 0.7863, prior_entropy: 4.208, recall: 0.7863, relative_absolute_error: 0.2252, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.143, root_relative_squared_error: 0.6591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, kappa: 0.7058, kb_relative_information_score: 426.5845, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7233, prior_entropy: 4.208, recall: 0.7233, relative_absolute_error: 0.3724, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.6465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, kappa: 0.7192, kb_relative_information_score: 430.5034, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7356, prior_entropy: 4.208, recall: 0.7356, relative_absolute_error: 0.3504, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.766, kappa: 0.7465, kb_relative_information_score: 446.2294, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7789, predictive_accuracy: 0.7618, prior_entropy: 4.208, recall: 0.7618, relative_absolute_error: 0.2745, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1369, root_relative_squared_error: 0.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.766, kappa: 0.7461, kb_relative_information_score: 449.691, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7817, predictive_accuracy: 0.7618, prior_entropy: 4.208, recall: 0.7618, relative_absolute_error: 0.2953, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1313, root_relative_squared_error: 0.6054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.7469, kappa: 0.7293, kb_relative_information_score: 434.7386, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7719, predictive_accuracy: 0.7461, prior_entropy: 4.208, recall: 0.7461, relative_absolute_error: 0.322, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.137, root_relative_squared_error: 0.6318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.7504, kappa: 0.7335, kb_relative_information_score: 447.52, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7586, predictive_accuracy: 0.7496, prior_entropy: 4.208, recall: 0.7496, relative_absolute_error: 0.2774, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.6275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.7656, kappa: 0.7501, kb_relative_information_score: 443.7338, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7714, predictive_accuracy: 0.7653, prior_entropy: 4.208, recall: 0.7653, relative_absolute_error: 0.2888, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.6256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, kappa: 0.7085, kb_relative_information_score: 418.2255, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.725, prior_entropy: 4.208, recall: 0.725, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1432, root_relative_squared_error: 0.6603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.7473, kappa: 0.7273, kb_relative_information_score: 433.0094, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7759, predictive_accuracy: 0.7443, prior_entropy: 4.208, recall: 0.7443, relative_absolute_error: 0.3266, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.6286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.761, kappa: 0.7428, kb_relative_information_score: 450.8704, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7719, predictive_accuracy: 0.7583, prior_entropy: 4.208, recall: 0.7583, relative_absolute_error: 0.2771, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1329, root_relative_squared_error: 0.6128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.75, kappa: 0.7275, kb_relative_information_score: 446.1112, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7708, predictive_accuracy: 0.7443, prior_entropy: 4.208, recall: 0.7443, relative_absolute_error: 0.3048, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1324, root_relative_squared_error: 0.6104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, kappa: 0.7213, kb_relative_information_score: 423.319, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7373, prior_entropy: 4.208, recall: 0.7373, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.6508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.7705, kappa: 0.7498, kb_relative_information_score: 452.7161, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7895, predictive_accuracy: 0.7653, prior_entropy: 4.208, recall: 0.7653, relative_absolute_error: 0.2902, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1289, root_relative_squared_error: 0.5944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.7679, kappa: 0.7519, kb_relative_information_score: 445.4769, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7744, predictive_accuracy: 0.7671, prior_entropy: 4.208, recall: 0.7671, relative_absolute_error: 0.2869, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1343, root_relative_squared_error: 0.6194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.7743, kappa: 0.7578, kb_relative_information_score: 436.8815, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7809, predictive_accuracy: 0.7723, prior_entropy: 4.208, recall: 0.7723, relative_absolute_error: 0.2419, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.6835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, kappa: 0.7287, kb_relative_information_score: 433.0266, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7443, prior_entropy: 4.208, recall: 0.7443, relative_absolute_error: 0.3422, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.6328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, kappa: 0.7269, kb_relative_information_score: 432.2348, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7426, prior_entropy: 4.208, recall: 0.7426, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1377, root_relative_squared_error: 0.6349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, kappa: 0.7283, kb_relative_information_score: 437.7599, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7443, prior_entropy: 4.208, recall: 0.7443, relative_absolute_error: 0.3336, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.6189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.7507, kappa: 0.7311, kb_relative_information_score: 434.9893, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7805, predictive_accuracy: 0.7478, prior_entropy: 4.208, recall: 0.7478, relative_absolute_error: 0.3227, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.6263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, kappa: 0.7174, kb_relative_information_score: 428.7451, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7338, prior_entropy: 4.208, recall: 0.7338, relative_absolute_error: 0.3555, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.6379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, kappa: 0.7176, kb_relative_information_score: 422.9113, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7338, prior_entropy: 4.208, recall: 0.7338, relative_absolute_error: 0.3587, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.6523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.7821, kappa: 0.7654, kb_relative_information_score: 450.4032, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7929, predictive_accuracy: 0.7793, prior_entropy: 4.208, recall: 0.7793, relative_absolute_error: 0.2393, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.6397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, f_measure: 0.7838, kappa: 0.7693, kb_relative_information_score: 448.0695, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7917, predictive_accuracy: 0.7828, prior_entropy: 4.208, recall: 0.7828, relative_absolute_error: 0.2362, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.6536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.7749, kappa: 0.7575, kb_relative_information_score: 441.3398, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7836, predictive_accuracy: 0.7723, prior_entropy: 4.208, recall: 0.7723, relative_absolute_error: 0.2559, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.6494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.7742, kappa: 0.758, kb_relative_information_score: 444.8579, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7842, predictive_accuracy: 0.7723, prior_entropy: 4.208, recall: 0.7723, relative_absolute_error: 0.2448, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.7626, kappa: 0.7446, kb_relative_information_score: 450.7468, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7742, predictive_accuracy: 0.7601, prior_entropy: 4.208, recall: 0.7601, relative_absolute_error: 0.2761, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1334, root_relative_squared_error: 0.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.7565, kappa: 0.7372, kb_relative_information_score: 446.2292, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7712, predictive_accuracy: 0.7531, prior_entropy: 4.208, recall: 0.7531, relative_absolute_error: 0.2908, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.7626, kappa: 0.7409, kb_relative_information_score: 451.1166, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7813, predictive_accuracy: 0.7566, prior_entropy: 4.208, recall: 0.7566, relative_absolute_error: 0.3018, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.129, root_relative_squared_error: 0.5948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.7503, kappa: 0.729, kb_relative_information_score: 430.8279, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7685, predictive_accuracy: 0.7461, prior_entropy: 4.208, recall: 0.7461, relative_absolute_error: 0.3327, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.6332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.7501, kappa: 0.7317, kb_relative_information_score: 438.0126, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7611, predictive_accuracy: 0.7478, prior_entropy: 4.208, recall: 0.7478, relative_absolute_error: 0.3021, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1398, root_relative_squared_error: 0.6445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.7452, kappa: 0.7275, kb_relative_information_score: 438.3366, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7689, predictive_accuracy: 0.7443, prior_entropy: 4.208, recall: 0.7443, relative_absolute_error: 0.3144, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1353, root_relative_squared_error: 0.6237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.7751, kappa: 0.7558, kb_relative_information_score: 452.9252, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7874, predictive_accuracy: 0.7706, prior_entropy: 4.208, recall: 0.7706, relative_absolute_error: 0.267, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1333, root_relative_squared_error: 0.6145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.7689, kappa: 0.7503, kb_relative_information_score: 452.4189, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.784, predictive_accuracy: 0.7653, prior_entropy: 4.208, recall: 0.7653, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1327, root_relative_squared_error: 0.6116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.7661, kappa: 0.7501, kb_relative_information_score: 441.9481, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7722, predictive_accuracy: 0.7653, prior_entropy: 4.208, recall: 0.7653, relative_absolute_error: 0.2883, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.6297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.7399, kappa: 0.7199, kb_relative_information_score: 434.7599, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7556, predictive_accuracy: 0.7373, prior_entropy: 4.208, recall: 0.7373, relative_absolute_error: 0.3122, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.6303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.7459, kappa: 0.7276, kb_relative_information_score: 434.4252, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7564, predictive_accuracy: 0.7443, prior_entropy: 4.208, recall: 0.7443, relative_absolute_error: 0.2992, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.6452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, kappa: 0.7038, kb_relative_information_score: 425.1591, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7215, prior_entropy: 4.208, recall: 0.7215, relative_absolute_error: 0.377, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.6515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.7507, kappa: 0.731, kb_relative_information_score: 434.0963, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7811, predictive_accuracy: 0.7478, prior_entropy: 4.208, recall: 0.7478, relative_absolute_error: 0.324, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.6259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.7588, kappa: 0.7378, kb_relative_information_score: 441.6494, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7843, predictive_accuracy: 0.7531, prior_entropy: 4.208, recall: 0.7531, relative_absolute_error: 0.3249, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, f_measure: 0.7563, kappa: 0.7351, kb_relative_information_score: 451.5121, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7702, predictive_accuracy: 0.7513, prior_entropy: 4.208, recall: 0.7513, relative_absolute_error: 0.2829, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1321, root_relative_squared_error: 0.6092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.7812, kappa: 0.7649, kb_relative_information_score: 442.0903, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7912, predictive_accuracy: 0.7793, prior_entropy: 4.208, recall: 0.7793, relative_absolute_error: 0.2554, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.7634, kappa: 0.7466, kb_relative_information_score: 453.5823, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7701, predictive_accuracy: 0.7618, prior_entropy: 4.208, recall: 0.7618, relative_absolute_error: 0.2694, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1328, root_relative_squared_error: 0.6122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.7554, kappa: 0.7388, kb_relative_information_score: 436.5128, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7646, predictive_accuracy: 0.7548, prior_entropy: 4.208, recall: 0.7548, relative_absolute_error: 0.2899, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1386, root_relative_squared_error: 0.6388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, kappa: 0.7138, kb_relative_information_score: 418.8404, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7303, prior_entropy: 4.208, recall: 0.7303, relative_absolute_error: 0.3772, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.6569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.7693, kappa: 0.7539, kb_relative_information_score: 438.6517, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7752, predictive_accuracy: 0.7688, prior_entropy: 4.208, recall: 0.7688, relative_absolute_error: 0.2603, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1432, root_relative_squared_error: 0.6603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.7499, kappa: 0.7278, kb_relative_information_score: 449.372, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7716, predictive_accuracy: 0.7443, prior_entropy: 4.208, recall: 0.7443, relative_absolute_error: 0.3034, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1305, root_relative_squared_error: 0.6018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, kappa: 0.723, kb_relative_information_score: 422.1995, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7391, prior_entropy: 4.208, recall: 0.7391, relative_absolute_error: 0.3685, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.6483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, kappa: 0.7174, kb_relative_information_score: 424.0992, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7338, prior_entropy: 4.208, recall: 0.7338, relative_absolute_error: 0.3576, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1405, root_relative_squared_error: 0.6476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.7519, kappa: 0.7295, kb_relative_information_score: 450.8158, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7735, predictive_accuracy: 0.7461, prior_entropy: 4.208, recall: 0.7461, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1293, root_relative_squared_error: 0.5962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.7757, kappa: 0.7613, kb_relative_information_score: 437.3019, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7825, predictive_accuracy: 0.7758, prior_entropy: 4.208, recall: 0.7758, relative_absolute_error: 0.245, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.6693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.7491, kappa: 0.7312, kb_relative_information_score: 438.5661, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7739, predictive_accuracy: 0.7478, prior_entropy: 4.208, recall: 0.7478, relative_absolute_error: 0.3107, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1359, root_relative_squared_error: 0.6265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.7747, kappa: 0.7558, kb_relative_information_score: 453.2419, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7877, predictive_accuracy: 0.7706, prior_entropy: 4.208, recall: 0.7706, relative_absolute_error: 0.2664, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1324, root_relative_squared_error: 0.6105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.758, kappa: 0.7378, kb_relative_information_score: 441.1963, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7831, predictive_accuracy: 0.7531, prior_entropy: 4.208, recall: 0.7531, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1333, root_relative_squared_error: 0.6148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, kappa: 0.723, kb_relative_information_score: 429.7411, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7391, prior_entropy: 4.208, recall: 0.7391, relative_absolute_error: 0.35, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, kappa: 0.7267, kb_relative_information_score: 432.6989, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7426, prior_entropy: 4.208, recall: 0.7426, relative_absolute_error: 0.3428, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, kappa: 0.7212, kb_relative_information_score: 422.3137, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7373, prior_entropy: 4.208, recall: 0.7373, relative_absolute_error: 0.3698, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1407, root_relative_squared_error: 0.6487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.7529, kappa: 0.7313, kb_relative_information_score: 449.0993, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.772, predictive_accuracy: 0.7478, prior_entropy: 4.208, recall: 0.7478, relative_absolute_error: 0.3014, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1305, root_relative_squared_error: 0.6017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.7582, kappa: 0.7391, kb_relative_information_score: 450.8275, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7701, predictive_accuracy: 0.7548, prior_entropy: 4.208, recall: 0.7548, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.133, root_relative_squared_error: 0.6133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.7734, kappa: 0.7539, kb_relative_information_score: 449.0125, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7849, predictive_accuracy: 0.7688, prior_entropy: 4.208, recall: 0.7688, relative_absolute_error: 0.2728, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1348, root_relative_squared_error: 0.6216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, kappa: 0.7302, kb_relative_information_score: 437.2385, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7461, prior_entropy: 4.208, recall: 0.7461, relative_absolute_error: 0.3337, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1349, root_relative_squared_error: 0.6218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.765, kappa: 0.746, kb_relative_information_score: 442.4757, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7777, predictive_accuracy: 0.7618, prior_entropy: 4.208, recall: 0.7618, relative_absolute_error: 0.2938, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.135, root_relative_squared_error: 0.6222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.7636, kappa: 0.7464, kb_relative_information_score: 446.8288, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7724, predictive_accuracy: 0.7618, prior_entropy: 4.208, recall: 0.7618, relative_absolute_error: 0.2867, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.135, root_relative_squared_error: 0.6227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.7586, kappa: 0.7378, kb_relative_information_score: 444.232, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7824, predictive_accuracy: 0.7531, prior_entropy: 4.208, recall: 0.7531, relative_absolute_error: 0.32, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1321, root_relative_squared_error: 0.6091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.7457, kappa: 0.7258, kb_relative_information_score: 428.6248, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7616, predictive_accuracy: 0.7426, prior_entropy: 4.208, recall: 0.7426, relative_absolute_error: 0.3421, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1392, root_relative_squared_error: 0.6419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.7795, kappa: 0.7636, kb_relative_information_score: 454.9997, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7877, predictive_accuracy: 0.7776, prior_entropy: 4.208, recall: 0.7776, relative_absolute_error: 0.2343, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.6299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, kappa: 0.723, kb_relative_information_score: 422.2209, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7391, prior_entropy: 4.208, recall: 0.7391, relative_absolute_error: 0.3696, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.6475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.7652, kappa: 0.7485, kb_relative_information_score: 447.3164, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7757, predictive_accuracy: 0.7636, prior_entropy: 4.208, recall: 0.7636, relative_absolute_error: 0.2578, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.139, root_relative_squared_error: 0.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, kappa: 0.7205, kb_relative_information_score: 425.4914, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7373, prior_entropy: 4.208, recall: 0.7373, relative_absolute_error: 0.3558, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.6497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, kappa: 0.7285, kb_relative_information_score: 432.6268, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7443, prior_entropy: 4.208, recall: 0.7443, relative_absolute_error: 0.342, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.137, root_relative_squared_error: 0.6314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.7625, kappa: 0.7462, kb_relative_information_score: 435.5542, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7742, predictive_accuracy: 0.7618, prior_entropy: 4.208, recall: 0.7618, relative_absolute_error: 0.2793, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.6528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.752, kappa: 0.7309, kb_relative_information_score: 431.8073, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7685, predictive_accuracy: 0.7478, prior_entropy: 4.208, recall: 0.7478, relative_absolute_error: 0.3278, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.137, root_relative_squared_error: 0.6317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.7482, kappa: 0.7297, kb_relative_information_score: 446.433, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7577, predictive_accuracy: 0.7461, prior_entropy: 4.208, recall: 0.7461, relative_absolute_error: 0.2855, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.6304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, kappa: 0.712, kb_relative_information_score: 421.976, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7285, prior_entropy: 4.208, recall: 0.7285, relative_absolute_error: 0.3614, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.6531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, kappa: 0.7193, kb_relative_information_score: 428.4125, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7356, prior_entropy: 4.208, recall: 0.7356, relative_absolute_error: 0.3547, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.6381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.7673, kappa: 0.7484, kb_relative_information_score: 454.8153, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7798, predictive_accuracy: 0.7636, prior_entropy: 4.208, recall: 0.7636, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.6009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.7583, kappa: 0.7406, kb_relative_information_score: 443.1864, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7691, predictive_accuracy: 0.7566, prior_entropy: 4.208, recall: 0.7566, relative_absolute_error: 0.2968, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.6137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.7751, kappa: 0.7559, kb_relative_information_score: 449.1758, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7866, predictive_accuracy: 0.7706, prior_entropy: 4.208, recall: 0.7706, relative_absolute_error: 0.256, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.7556, kappa: 0.7335, kb_relative_information_score: 447.6579, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.775, predictive_accuracy: 0.7496, prior_entropy: 4.208, recall: 0.7496, relative_absolute_error: 0.3092, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.6037,

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