OpenML
Supervised Classification on micro-mass

Supervised Classification on micro-mass

Task 9950 Supervised Classification micro-mass 13739 runs submitted
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  • OpenML100 study_123 study_14 study_7
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13739 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.7591, kappa: 0.7371, kb_relative_information_score: 450.4455, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7791, predictive_accuracy: 0.7531, prior_entropy: 4.208, recall: 0.7531, relative_absolute_error: 0.3032, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.129, root_relative_squared_error: 0.5949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.765, kappa: 0.75, kb_relative_information_score: 437.4615, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.773, predictive_accuracy: 0.7653, prior_entropy: 4.208, recall: 0.7653, relative_absolute_error: 0.2693, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1421, root_relative_squared_error: 0.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.7793, kappa: 0.7634, kb_relative_information_score: 447.8416, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7873, predictive_accuracy: 0.7776, prior_entropy: 4.208, recall: 0.7776, relative_absolute_error: 0.2342, 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: 0.9375, f_measure: 0.7507, kappa: 0.733, kb_relative_information_score: 437.2942, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7769, predictive_accuracy: 0.7496, prior_entropy: 4.208, recall: 0.7496, relative_absolute_error: 0.3159, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.6273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.7472, kappa: 0.7272, kb_relative_information_score: 433.9506, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7771, predictive_accuracy: 0.7443, prior_entropy: 4.208, recall: 0.7443, relative_absolute_error: 0.325, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.6254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.7441, kappa: 0.7237, kb_relative_information_score: 436.9738, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7602, predictive_accuracy: 0.7408, prior_entropy: 4.208, recall: 0.7408, relative_absolute_error: 0.3128, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.6257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, kappa: 0.7193, kb_relative_information_score: 420.6165, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7356, prior_entropy: 4.208, recall: 0.7356, relative_absolute_error: 0.3726, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.6514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.7497, kappa: 0.7277, kb_relative_information_score: 448.4482, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7693, predictive_accuracy: 0.7443, prior_entropy: 4.208, recall: 0.7443, relative_absolute_error: 0.3093, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.6037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.7533, kappa: 0.7353, kb_relative_information_score: 438.2293, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7626, predictive_accuracy: 0.7513, prior_entropy: 4.208, recall: 0.7513, relative_absolute_error: 0.2979, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.6431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.7654, kappa: 0.7484, kb_relative_information_score: 446.9634, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7731, predictive_accuracy: 0.7636, prior_entropy: 4.208, recall: 0.7636, relative_absolute_error: 0.2848, 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: 0.9424, kappa: 0.7302, kb_relative_information_score: 438.6702, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7461, prior_entropy: 4.208, recall: 0.7461, relative_absolute_error: 0.332, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1335, root_relative_squared_error: 0.6153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.7582, kappa: 0.7407, kb_relative_information_score: 445.0101, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7686, predictive_accuracy: 0.7566, prior_entropy: 4.208, recall: 0.7566, relative_absolute_error: 0.2971, 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: 0.9433, f_measure: 0.7506, kappa: 0.7295, kb_relative_information_score: 448.4892, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7674, 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: 0.1313, root_relative_squared_error: 0.6055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.7495, kappa: 0.7293, kb_relative_information_score: 438.7536, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7629, predictive_accuracy: 0.7461, prior_entropy: 4.208, recall: 0.7461, relative_absolute_error: 0.3024, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1352, root_relative_squared_error: 0.6235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.7453, kappa: 0.7254, kb_relative_information_score: 433.5981, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.775, predictive_accuracy: 0.7426, prior_entropy: 4.208, recall: 0.7426, relative_absolute_error: 0.3239, 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: 0.9366, f_measure: 0.7521, kappa: 0.7309, kb_relative_information_score: 433.3464, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7699, predictive_accuracy: 0.7478, prior_entropy: 4.208, recall: 0.7478, relative_absolute_error: 0.3266, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.7559, kappa: 0.7368, kb_relative_information_score: 442.55, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7689, predictive_accuracy: 0.7531, prior_entropy: 4.208, recall: 0.7531, relative_absolute_error: 0.2964, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.6158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.7666, kappa: 0.7503, kb_relative_information_score: 448.3001, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7731, predictive_accuracy: 0.7653, prior_entropy: 4.208, recall: 0.7653, relative_absolute_error: 0.2827, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1334, root_relative_squared_error: 0.6151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, kappa: 0.7174, kb_relative_information_score: 419.9688, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7338, prior_entropy: 4.208, recall: 0.7338, relative_absolute_error: 0.3738, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.7592, kappa: 0.7409, kb_relative_information_score: 450.5616, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7703, predictive_accuracy: 0.7566, prior_entropy: 4.208, recall: 0.7566, relative_absolute_error: 0.2796, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1335, root_relative_squared_error: 0.6157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.7456, kappa: 0.7254, kb_relative_information_score: 433.6675, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7758, predictive_accuracy: 0.7426, prior_entropy: 4.208, recall: 0.7426, relative_absolute_error: 0.324, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.7775, kappa: 0.7612, kb_relative_information_score: 438.9656, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7869, predictive_accuracy: 0.7758, prior_entropy: 4.208, recall: 0.7758, relative_absolute_error: 0.2723, 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: 0.9456, kappa: 0.7268, kb_relative_information_score: 432.5578, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7426, prior_entropy: 4.208, recall: 0.7426, relative_absolute_error: 0.3444, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.6338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.7582, kappa: 0.7409, kb_relative_information_score: 443.5225, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7646, predictive_accuracy: 0.7566, prior_entropy: 4.208, recall: 0.7566, relative_absolute_error: 0.2907, 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: 0.922, f_measure: 0.7614, kappa: 0.7405, kb_relative_information_score: 437.328, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7762, predictive_accuracy: 0.7566, prior_entropy: 4.208, recall: 0.7566, relative_absolute_error: 0.3023, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.6319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.7512, kappa: 0.7312, kb_relative_information_score: 438.8253, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7677, predictive_accuracy: 0.7478, prior_entropy: 4.208, recall: 0.7478, relative_absolute_error: 0.3054, 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: 0.9395, kappa: 0.7174, kb_relative_information_score: 423.4452, 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: 0.3597, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.6507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9023, f_measure: 0.7657, kappa: 0.7502, kb_relative_information_score: 441.7419, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7727, predictive_accuracy: 0.7653, prior_entropy: 4.208, recall: 0.7653, relative_absolute_error: 0.2643, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1401, root_relative_squared_error: 0.6457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, kappa: 0.7174, kb_relative_information_score: 423.5203, 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: 0.3595, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.141, root_relative_squared_error: 0.6501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.7788, kappa: 0.7633, kb_relative_information_score: 454.7143, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7869, predictive_accuracy: 0.7776, prior_entropy: 4.208, recall: 0.7776, relative_absolute_error: 0.2508, 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: 0.9103, f_measure: 0.7704, kappa: 0.7523, kb_relative_information_score: 448.0617, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7805, predictive_accuracy: 0.7671, prior_entropy: 4.208, recall: 0.7671, relative_absolute_error: 0.2485, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1382, root_relative_squared_error: 0.6374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, kappa: 0.7122, kb_relative_information_score: 419.3682, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7285, prior_entropy: 4.208, recall: 0.7285, relative_absolute_error: 0.369, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.6582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, kappa: 0.7138, kb_relative_information_score: 420.5654, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7303, prior_entropy: 4.208, recall: 0.7303, relative_absolute_error: 0.3676, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.142, root_relative_squared_error: 0.6548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.7666, kappa: 0.7481, kb_relative_information_score: 443.7033, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7775, predictive_accuracy: 0.7636, prior_entropy: 4.208, recall: 0.7636, relative_absolute_error: 0.2892, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1343, root_relative_squared_error: 0.6192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.7557, kappa: 0.7359, kb_relative_information_score: 442.3859, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7819, predictive_accuracy: 0.7513, prior_entropy: 4.208, recall: 0.7513, relative_absolute_error: 0.3232, 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: 0.9422, kappa: 0.725, kb_relative_information_score: 431.6298, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7408, prior_entropy: 4.208, recall: 0.7408, relative_absolute_error: 0.3454, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.6356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.7849, kappa: 0.7692, kb_relative_information_score: 445.5803, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7938, predictive_accuracy: 0.7828, prior_entropy: 4.208, recall: 0.7828, relative_absolute_error: 0.2335, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1446, root_relative_squared_error: 0.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.7588, kappa: 0.7408, kb_relative_information_score: 451.6677, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7689, predictive_accuracy: 0.7566, prior_entropy: 4.208, recall: 0.7566, relative_absolute_error: 0.2778, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1327, root_relative_squared_error: 0.6118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, kappa: 0.7212, kb_relative_information_score: 429.1817, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7373, prior_entropy: 4.208, recall: 0.7373, relative_absolute_error: 0.3536, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1377, root_relative_squared_error: 0.6351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.7448, kappa: 0.7235, kb_relative_information_score: 428.2791, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7618, predictive_accuracy: 0.7408, prior_entropy: 4.208, recall: 0.7408, relative_absolute_error: 0.3369, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.6395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.7636, kappa: 0.7428, kb_relative_information_score: 454.8334, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.778, predictive_accuracy: 0.7583, prior_entropy: 4.208, recall: 0.7583, relative_absolute_error: 0.2802, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1304, root_relative_squared_error: 0.6011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.7946, kappa: 0.7804, kb_relative_information_score: 456.3717, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.802, predictive_accuracy: 0.7933, prior_entropy: 4.208, recall: 0.7933, relative_absolute_error: 0.2261, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.6276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, kappa: 0.7283, kb_relative_information_score: 437.7613, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7443, prior_entropy: 4.208, recall: 0.7443, relative_absolute_error: 0.3327, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1343, root_relative_squared_error: 0.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.7623, kappa: 0.7465, kb_relative_information_score: 450.3161, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7685, predictive_accuracy: 0.7618, prior_entropy: 4.208, recall: 0.7618, relative_absolute_error: 0.2723, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1351, root_relative_squared_error: 0.6227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.7607, kappa: 0.7447, kb_relative_information_score: 449.5292, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.766, predictive_accuracy: 0.7601, prior_entropy: 4.208, recall: 0.7601, relative_absolute_error: 0.2731, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.136, root_relative_squared_error: 0.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.7532, kappa: 0.7315, kb_relative_information_score: 450.0482, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7679, predictive_accuracy: 0.7478, prior_entropy: 4.208, recall: 0.7478, relative_absolute_error: 0.2868, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1321, root_relative_squared_error: 0.6089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, kappa: 0.7176, kb_relative_information_score: 422.626, 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: 0.3599, 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: 0.893, f_measure: 0.7657, kappa: 0.7482, kb_relative_information_score: 435.7927, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7743, predictive_accuracy: 0.7636, prior_entropy: 4.208, recall: 0.7636, relative_absolute_error: 0.273, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.6633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.7569, kappa: 0.7354, kb_relative_information_score: 448.7906, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.775, predictive_accuracy: 0.7513, prior_entropy: 4.208, recall: 0.7513, relative_absolute_error: 0.3064, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1304, root_relative_squared_error: 0.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, f_measure: 0.7522, kappa: 0.7332, kb_relative_information_score: 433.1371, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.768, predictive_accuracy: 0.7496, prior_entropy: 4.208, recall: 0.7496, relative_absolute_error: 0.3367, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.6326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.7549, kappa: 0.7331, kb_relative_information_score: 452.2203, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7728, predictive_accuracy: 0.7496, prior_entropy: 4.208, recall: 0.7496, relative_absolute_error: 0.2878, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1315, root_relative_squared_error: 0.6063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, kappa: 0.7138, kb_relative_information_score: 421.6616, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7303, prior_entropy: 4.208, recall: 0.7303, relative_absolute_error: 0.3627, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.6524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.7474, kappa: 0.7272, kb_relative_information_score: 433.5056, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7782, predictive_accuracy: 0.7443, prior_entropy: 4.208, recall: 0.7443, relative_absolute_error: 0.3264, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.6261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.7478, kappa: 0.7259, kb_relative_information_score: 448.1429, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7677, predictive_accuracy: 0.7426, prior_entropy: 4.208, recall: 0.7426, relative_absolute_error: 0.3062, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1325, root_relative_squared_error: 0.6107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.7638, kappa: 0.7447, kb_relative_information_score: 450.9731, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7753, predictive_accuracy: 0.7601, prior_entropy: 4.208, recall: 0.7601, relative_absolute_error: 0.2827, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1328, root_relative_squared_error: 0.6124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.7659, kappa: 0.7461, kb_relative_information_score: 449.0849, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7815, predictive_accuracy: 0.7618, prior_entropy: 4.208, recall: 0.7618, relative_absolute_error: 0.2962, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1322, root_relative_squared_error: 0.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.7765, kappa: 0.7579, kb_relative_information_score: 450.4963, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7867, predictive_accuracy: 0.7723, prior_entropy: 4.208, recall: 0.7723, relative_absolute_error: 0.2449, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.6356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.7539, kappa: 0.7315, kb_relative_information_score: 452.0182, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7761, predictive_accuracy: 0.7478, prior_entropy: 4.208, recall: 0.7478, relative_absolute_error: 0.3011, 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: 0.9434, kappa: 0.7283, kb_relative_information_score: 438.0757, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7443, prior_entropy: 4.208, recall: 0.7443, relative_absolute_error: 0.332, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1337, root_relative_squared_error: 0.6164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.7513, kappa: 0.7296, kb_relative_information_score: 450.3463, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.773, predictive_accuracy: 0.7461, prior_entropy: 4.208, recall: 0.7461, relative_absolute_error: 0.3032, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1305, root_relative_squared_error: 0.6019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.771, kappa: 0.7556, kb_relative_information_score: 439.764, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7781, predictive_accuracy: 0.7706, prior_entropy: 4.208, recall: 0.7706, relative_absolute_error: 0.2796, 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: 0.9079, f_measure: 0.7924, kappa: 0.7767, kb_relative_information_score: 457.0414, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8016, predictive_accuracy: 0.7898, prior_entropy: 4.208, recall: 0.7898, relative_absolute_error: 0.2238, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.7462, kappa: 0.7253, kb_relative_information_score: 430.661, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7629, predictive_accuracy: 0.7426, prior_entropy: 4.208, recall: 0.7426, relative_absolute_error: 0.3331, 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: 0.9224, f_measure: 0.7614, kappa: 0.7446, kb_relative_information_score: 443.6279, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.768, predictive_accuracy: 0.7601, prior_entropy: 4.208, recall: 0.7601, relative_absolute_error: 0.2901, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1352, root_relative_squared_error: 0.6235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, kappa: 0.7174, kb_relative_information_score: 419.9791, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7338, prior_entropy: 4.208, recall: 0.7338, relative_absolute_error: 0.3736, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.6542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.8003, kappa: 0.7859, kb_relative_information_score: 457.7194, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8087, predictive_accuracy: 0.7986, prior_entropy: 4.208, recall: 0.7986, relative_absolute_error: 0.2176, 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: 0.9282, f_measure: 0.7545, kappa: 0.7349, kb_relative_information_score: 439.7305, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7675, predictive_accuracy: 0.7513, prior_entropy: 4.208, recall: 0.7513, relative_absolute_error: 0.3003, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1345, root_relative_squared_error: 0.6203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.7843, kappa: 0.7689, kb_relative_information_score: 452.9174, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.793, predictive_accuracy: 0.7828, prior_entropy: 4.208, recall: 0.7828, relative_absolute_error: 0.2327, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.6358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.7666, kappa: 0.75, kb_relative_information_score: 441.4508, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7771, predictive_accuracy: 0.7653, prior_entropy: 4.208, recall: 0.7653, relative_absolute_error: 0.267, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.6481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.7648, kappa: 0.7465, kb_relative_information_score: 454.9063, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7758, predictive_accuracy: 0.7618, prior_entropy: 4.208, recall: 0.7618, relative_absolute_error: 0.2719, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1317, root_relative_squared_error: 0.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.7457, kappa: 0.7258, kb_relative_information_score: 427.1245, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7629, 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: 0.1398, root_relative_squared_error: 0.6448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, kappa: 0.7174, kb_relative_information_score: 419.4559, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7338, prior_entropy: 4.208, recall: 0.7338, relative_absolute_error: 0.3745, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.6542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.7696, kappa: 0.7519, kb_relative_information_score: 444.0733, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7787, predictive_accuracy: 0.7671, prior_entropy: 4.208, recall: 0.7671, relative_absolute_error: 0.2899, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1344, root_relative_squared_error: 0.6197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.7756, kappa: 0.7576, kb_relative_information_score: 449.0105, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7851, predictive_accuracy: 0.7723, prior_entropy: 4.208, recall: 0.7723, relative_absolute_error: 0.2688, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.6248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.7576, kappa: 0.7354, kb_relative_information_score: 447.3175, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7788, predictive_accuracy: 0.7513, prior_entropy: 4.208, recall: 0.7513, relative_absolute_error: 0.3067, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.131, root_relative_squared_error: 0.6041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, kappa: 0.7306, kb_relative_information_score: 434.3805, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7461, prior_entropy: 4.208, recall: 0.7461, relative_absolute_error: 0.3393, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.6278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.7719, kappa: 0.7558, kb_relative_information_score: 442.725, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7796, predictive_accuracy: 0.7706, prior_entropy: 4.208, recall: 0.7706, relative_absolute_error: 0.2723, 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: 0.8802, f_measure: 0.7721, kappa: 0.7558, kb_relative_information_score: 436.8313, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7799, predictive_accuracy: 0.7706, prior_entropy: 4.208, recall: 0.7706, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1488, root_relative_squared_error: 0.6862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.7476, kappa: 0.7274, kb_relative_information_score: 436.2895, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7647, predictive_accuracy: 0.7443, prior_entropy: 4.208, recall: 0.7443, relative_absolute_error: 0.3088, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1359, root_relative_squared_error: 0.6266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, kappa: 0.7205, kb_relative_information_score: 426.4592, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7373, prior_entropy: 4.208, recall: 0.7373, relative_absolute_error: 0.3545, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.6473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.7764, kappa: 0.7578, kb_relative_information_score: 448.1961, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7881, predictive_accuracy: 0.7723, prior_entropy: 4.208, recall: 0.7723, relative_absolute_error: 0.2533, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.138, root_relative_squared_error: 0.6362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, kappa: 0.7192, kb_relative_information_score: 429.24, 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: 0.3551, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1381, root_relative_squared_error: 0.6369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.7444, kappa: 0.7278, kb_relative_information_score: 434.1209, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7517, predictive_accuracy: 0.7443, prior_entropy: 4.208, recall: 0.7443, relative_absolute_error: 0.3013, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.6491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.7589, kappa: 0.737, kb_relative_information_score: 455.4065, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.775, predictive_accuracy: 0.7531, prior_entropy: 4.208, recall: 0.7531, relative_absolute_error: 0.281, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1295, root_relative_squared_error: 0.5969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7489, kappa: 0.7291, kb_relative_information_score: 439.5679, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7668, predictive_accuracy: 0.7461, prior_entropy: 4.208, recall: 0.7461, relative_absolute_error: 0.3046, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1348, root_relative_squared_error: 0.6217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.7758, kappa: 0.7614, kb_relative_information_score: 441.7951, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7818, predictive_accuracy: 0.7758, prior_entropy: 4.208, recall: 0.7758, relative_absolute_error: 0.2499, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1421, root_relative_squared_error: 0.6551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, kappa: 0.7286, kb_relative_information_score: 433.5508, 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: 0.3417, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.6282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.7594, kappa: 0.7425, kb_relative_information_score: 441.6494, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7668, predictive_accuracy: 0.7583, prior_entropy: 4.208, recall: 0.7583, relative_absolute_error: 0.2941, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.6327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, kappa: 0.723, kb_relative_information_score: 430.9895, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7391, prior_entropy: 4.208, recall: 0.7391, relative_absolute_error: 0.3482, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.6322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, kappa: 0.7141, kb_relative_information_score: 420.0702, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7303, prior_entropy: 4.208, recall: 0.7303, relative_absolute_error: 0.3678, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.6562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.7484, kappa: 0.7271, kb_relative_information_score: 430.8301, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7662, predictive_accuracy: 0.7443, prior_entropy: 4.208, recall: 0.7443, relative_absolute_error: 0.3281, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.6321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, kappa: 0.728, kb_relative_information_score: 429.2979, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7443, prior_entropy: 4.208, recall: 0.7443, relative_absolute_error: 0.3466, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.6421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.7695, kappa: 0.7498, kb_relative_information_score: 452.592, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7853, predictive_accuracy: 0.7653, prior_entropy: 4.208, recall: 0.7653, relative_absolute_error: 0.2855, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1295, root_relative_squared_error: 0.5968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, kappa: 0.7159, kb_relative_information_score: 421.1226, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.732, prior_entropy: 4.208, recall: 0.732, relative_absolute_error: 0.3654, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.6535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.7613, kappa: 0.7415, kb_relative_information_score: 442.9756, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7855, predictive_accuracy: 0.7566, prior_entropy: 4.208, recall: 0.7566, relative_absolute_error: 0.3242, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.6142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.7769, kappa: 0.7578, kb_relative_information_score: 450.61, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7881, predictive_accuracy: 0.7723, prior_entropy: 4.208, recall: 0.7723, relative_absolute_error: 0.2482, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1364, root_relative_squared_error: 0.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.7683, kappa: 0.7483, kb_relative_information_score: 449.3559, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.781, predictive_accuracy: 0.7636, prior_entropy: 4.208, recall: 0.7636, relative_absolute_error: 0.2694, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1352, root_relative_squared_error: 0.6233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.7605, kappa: 0.7391, kb_relative_information_score: 449.5948, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7801, predictive_accuracy: 0.7548, prior_entropy: 4.208, recall: 0.7548, relative_absolute_error: 0.307, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1296, root_relative_squared_error: 0.5975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, kappa: 0.7247, kb_relative_information_score: 435.6898, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7408, prior_entropy: 4.208, recall: 0.7408, relative_absolute_error: 0.3376, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1352, root_relative_squared_error: 0.6232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.7734, kappa: 0.7539, kb_relative_information_score: 453.5174, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.787, predictive_accuracy: 0.7688, prior_entropy: 4.208, recall: 0.7688, relative_absolute_error: 0.2696, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.6115,

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