Task
Supervised Classification on dental

Supervised Classification on dental

Task 190399 Supervised Classification dental 28 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4673, kb_relative_information_score: -0.002, mean_absolute_error: 0.2459, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.6368, prior_entropy: 1.1427, recall: 0.6368, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3487, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.477, kb_relative_information_score: 0.0031, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.6368, prior_entropy: 1.1427, recall: 0.6368, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3489, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, kappa: -0.0738, kb_relative_information_score: 0.0037, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.5771, prior_entropy: 1.1427, recall: 0.5771, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3583, root_relative_squared_error: 1.0279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4673, kb_relative_information_score: -0.002, mean_absolute_error: 0.2459, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.6368, prior_entropy: 1.1427, recall: 0.6368, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3487, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5059, kappa: 0.0286, kb_relative_information_score: 0.0172, mean_absolute_error: 0.2429, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.592, prior_entropy: 1.1427, recall: 0.592, relative_absolute_error: 0.9894, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3568, root_relative_squared_error: 1.0236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4823, kappa: -0.0263, kb_relative_information_score: -0.3046, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.5721, prior_entropy: 1.1427, recall: 0.5721, relative_absolute_error: 1.326, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3945, root_relative_squared_error: 1.1316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5651, kappa: 0.0674, kb_relative_information_score: -0.2487, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.6169, prior_entropy: 1.1427, recall: 0.6169, relative_absolute_error: 1.2684, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.378, root_relative_squared_error: 1.0845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5108, kappa: 0.0126, kb_relative_information_score: -0.3187, mean_absolute_error: 0.3279, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.602, prior_entropy: 1.1427, recall: 0.602, relative_absolute_error: 1.3356, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3933, root_relative_squared_error: 1.1284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5175, kappa: -0.0188, kb_relative_information_score: 0.0186, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.6269, prior_entropy: 1.1427, recall: 0.6269, relative_absolute_error: 0.988, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3509, root_relative_squared_error: 1.0067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5518, kappa: 0.1136, kb_relative_information_score: 0.0295, mean_absolute_error: 0.2378, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.6318, prior_entropy: 1.1427, recall: 0.6318, relative_absolute_error: 0.9685, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.349, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5708, kappa: 0.0261, kb_relative_information_score: 0.0524, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.6269, prior_entropy: 1.1427, recall: 0.6269, relative_absolute_error: 0.9404, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3486, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5401, kappa: -0.0051, kb_relative_information_score: 0.0242, mean_absolute_error: 0.2429, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.5622, prior_entropy: 1.1427, recall: 0.5622, relative_absolute_error: 0.9893, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3637, root_relative_squared_error: 1.0433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5456, kappa: -0.0097, kb_relative_information_score: 0.0285, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.607, prior_entropy: 1.1427, recall: 0.607, relative_absolute_error: 0.9716, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5966, kappa: -0.0277, kb_relative_information_score: -0.1828, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.592, prior_entropy: 1.1427, recall: 0.592, relative_absolute_error: 1.1701, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.363, root_relative_squared_error: 1.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4673, kb_relative_information_score: -0.002, mean_absolute_error: 0.2459, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.6368, prior_entropy: 1.1427, recall: 0.6368, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3487, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, kb_relative_information_score: 0.0027, mean_absolute_error: 0.2443, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.6368, prior_entropy: 1.1427, recall: 0.6368, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3513, root_relative_squared_error: 1.0078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, kappa: 0.069, kb_relative_information_score: 0.0239, mean_absolute_error: 0.2398, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.6219, prior_entropy: 1.1427, recall: 0.6219, relative_absolute_error: 0.9766, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3507, root_relative_squared_error: 1.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5979, kappa: -0.0121, kb_relative_information_score: 0.0152, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.592, prior_entropy: 1.1427, recall: 0.592, relative_absolute_error: 0.9751, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3592, root_relative_squared_error: 1.0305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6111, f_measure: 0.5486, kappa: 0.0488, kb_relative_information_score: 0.0452, mean_absolute_error: 0.2328, mean_prior_absolute_error: 0.2455, number_of_instances: 201, precision: 0.5374, predictive_accuracy: 0.602, prior_entropy: 1.1427, recall: 0.602, relative_absolute_error: 0.948, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3521, root_relative_squared_error: 1.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5633, kappa: 0.0383, kb_relative_information_score: 0.0541, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.602, prior_entropy: 1.1427, recall: 0.602, relative_absolute_error: 0.9283, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3608, root_relative_squared_error: 1.0351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5355, kappa: 0.0386, kb_relative_information_score: 0.0134, mean_absolute_error: 0.2423, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.6169, prior_entropy: 1.1427, recall: 0.6169, relative_absolute_error: 0.9868, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3578, root_relative_squared_error: 1.0263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5196, kappa: 0.0431, kb_relative_information_score: -0.1917, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.607, prior_entropy: 1.1427, recall: 0.607, relative_absolute_error: 1.1684, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3662, root_relative_squared_error: 1.0506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.617, kappa: 0.1385, kb_relative_information_score: 0.0142, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.6368, prior_entropy: 1.1427, recall: 0.6368, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3576, root_relative_squared_error: 1.0259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5142, kappa: 0.076, kb_relative_information_score: 0.0152, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.6119, prior_entropy: 1.1427, recall: 0.6119, relative_absolute_error: 0.9855, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3606, root_relative_squared_error: 1.0346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5565, kappa: 0.1265, kb_relative_information_score: -0.1782, mean_absolute_error: 0.2848, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.6318, prior_entropy: 1.1427, recall: 0.6318, relative_absolute_error: 1.16, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3634, root_relative_squared_error: 1.0425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5392, kappa: 0.0049, kb_relative_information_score: 0.0302, mean_absolute_error: 0.2416, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.5821, prior_entropy: 1.1427, recall: 0.5821, relative_absolute_error: 0.984, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3666, root_relative_squared_error: 1.0517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5408, kappa: 0.012, kb_relative_information_score: 0.032, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.6169, prior_entropy: 1.1427, recall: 0.6169, relative_absolute_error: 0.9855, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3523, root_relative_squared_error: 1.0107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5947, kappa: 0.1799, kb_relative_information_score: -0.2205, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.6468, prior_entropy: 1.1427, recall: 0.6468, relative_absolute_error: 1.2478, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3742, root_relative_squared_error: 1.0736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4673, kb_relative_information_score: -0.002, mean_absolute_error: 0.2459, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.6368, prior_entropy: 1.1427, recall: 0.6368, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3487, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.477, kb_relative_information_score: 0.0031, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.6368, prior_entropy: 1.1427, recall: 0.6368, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3489, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, kappa: -0.0738, kb_relative_information_score: 0.0037, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.5771, prior_entropy: 1.1427, recall: 0.5771, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3583, root_relative_squared_error: 1.0279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4673, kb_relative_information_score: -0.002, mean_absolute_error: 0.2459, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.6368, prior_entropy: 1.1427, recall: 0.6368, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3487, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5059, kappa: 0.0286, kb_relative_information_score: 0.0172, mean_absolute_error: 0.2429, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.592, prior_entropy: 1.1427, recall: 0.592, relative_absolute_error: 0.9894, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3568, root_relative_squared_error: 1.0236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4823, kappa: -0.0263, kb_relative_information_score: -0.3046, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.5721, prior_entropy: 1.1427, recall: 0.5721, relative_absolute_error: 1.326, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3945, root_relative_squared_error: 1.1316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5651, kappa: 0.0674, kb_relative_information_score: -0.2487, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.6169, prior_entropy: 1.1427, recall: 0.6169, relative_absolute_error: 1.2684, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.378, root_relative_squared_error: 1.0845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5108, kappa: 0.0126, kb_relative_information_score: -0.3187, mean_absolute_error: 0.3279, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.602, prior_entropy: 1.1427, recall: 0.602, relative_absolute_error: 1.3356, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3933, root_relative_squared_error: 1.1284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5175, kappa: -0.0188, kb_relative_information_score: 0.0186, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.6269, prior_entropy: 1.1427, recall: 0.6269, relative_absolute_error: 0.988, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3509, root_relative_squared_error: 1.0067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5518, kappa: 0.1136, kb_relative_information_score: 0.0295, mean_absolute_error: 0.2378, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.6318, prior_entropy: 1.1427, recall: 0.6318, relative_absolute_error: 0.9685, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.349, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5708, kappa: 0.0261, kb_relative_information_score: 0.0524, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.6269, prior_entropy: 1.1427, recall: 0.6269, relative_absolute_error: 0.9404, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3486, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5401, kappa: -0.0051, kb_relative_information_score: 0.0242, mean_absolute_error: 0.2429, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.5622, prior_entropy: 1.1427, recall: 0.5622, relative_absolute_error: 0.9893, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3637, root_relative_squared_error: 1.0433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5456, kappa: -0.0097, kb_relative_information_score: 0.0285, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.607, prior_entropy: 1.1427, recall: 0.607, relative_absolute_error: 0.9716, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5966, kappa: -0.0277, kb_relative_information_score: -0.1828, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.592, prior_entropy: 1.1427, recall: 0.592, relative_absolute_error: 1.1701, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.363, root_relative_squared_error: 1.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4673, kb_relative_information_score: -0.002, mean_absolute_error: 0.2459, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.6368, prior_entropy: 1.1427, recall: 0.6368, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3487, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, kb_relative_information_score: 0.0027, mean_absolute_error: 0.2443, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.6368, prior_entropy: 1.1427, recall: 0.6368, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3513, root_relative_squared_error: 1.0078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, kappa: 0.069, kb_relative_information_score: 0.0239, mean_absolute_error: 0.2398, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.6219, prior_entropy: 1.1427, recall: 0.6219, relative_absolute_error: 0.9766, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3507, root_relative_squared_error: 1.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5979, kappa: -0.0121, kb_relative_information_score: 0.0152, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.592, prior_entropy: 1.1427, recall: 0.592, relative_absolute_error: 0.9751, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3592, root_relative_squared_error: 1.0305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6111, f_measure: 0.5486, kappa: 0.0488, kb_relative_information_score: 0.0452, mean_absolute_error: 0.2328, mean_prior_absolute_error: 0.2455, number_of_instances: 201, precision: 0.5374, predictive_accuracy: 0.602, prior_entropy: 1.1427, recall: 0.602, relative_absolute_error: 0.948, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3521, root_relative_squared_error: 1.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5633, kappa: 0.0383, kb_relative_information_score: 0.0541, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.602, prior_entropy: 1.1427, recall: 0.602, relative_absolute_error: 0.9283, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3608, root_relative_squared_error: 1.0351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5355, kappa: 0.0386, kb_relative_information_score: 0.0134, mean_absolute_error: 0.2423, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.6169, prior_entropy: 1.1427, recall: 0.6169, relative_absolute_error: 0.9868, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3578, root_relative_squared_error: 1.0263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5196, kappa: 0.0431, kb_relative_information_score: -0.1917, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.607, prior_entropy: 1.1427, recall: 0.607, relative_absolute_error: 1.1684, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3662, root_relative_squared_error: 1.0506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.617, kappa: 0.1385, kb_relative_information_score: 0.0142, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.6368, prior_entropy: 1.1427, recall: 0.6368, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3576, root_relative_squared_error: 1.0259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5142, kappa: 0.076, kb_relative_information_score: 0.0152, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.6119, prior_entropy: 1.1427, recall: 0.6119, relative_absolute_error: 0.9855, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3606, root_relative_squared_error: 1.0346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5565, kappa: 0.1265, kb_relative_information_score: -0.1782, mean_absolute_error: 0.2848, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.6318, prior_entropy: 1.1427, recall: 0.6318, relative_absolute_error: 1.16, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3634, root_relative_squared_error: 1.0425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5392, kappa: 0.0049, kb_relative_information_score: 0.0302, mean_absolute_error: 0.2416, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.5821, prior_entropy: 1.1427, recall: 0.5821, relative_absolute_error: 0.984, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3666, root_relative_squared_error: 1.0517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5408, kappa: 0.012, kb_relative_information_score: 0.032, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.6169, prior_entropy: 1.1427, recall: 0.6169, relative_absolute_error: 0.9855, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3523, root_relative_squared_error: 1.0107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5947, kappa: 0.1799, kb_relative_information_score: -0.2205, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.2455, number_of_instances: 201, predictive_accuracy: 0.6468, prior_entropy: 1.1427, recall: 0.6468, relative_absolute_error: 1.2478, root_mean_prior_squared_error: 0.3486, root_mean_squared_error: 0.3742, root_relative_squared_error: 1.0736,

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