OpenML
Supervised Classification on madelon

Supervised Classification on madelon

Task 9976 Supervised Classification madelon 54817 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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54817 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.7669, kappa: 0.5338, kb_relative_information_score: 1374.1213, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7672, predictive_accuracy: 0.7669, prior_entropy: 1, recall: 0.7669, relative_absolute_error: 0.4731, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.7773, kappa: 0.5546, kb_relative_information_score: 1393.8911, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7773, predictive_accuracy: 0.7773, prior_entropy: 1, recall: 0.7773, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.8373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.7804, kappa: 0.5608, kb_relative_information_score: 1302.4214, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7804, predictive_accuracy: 0.7804, prior_entropy: 1, recall: 0.7804, relative_absolute_error: 0.5101, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.8206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7849, f_measure: 0.7719, kappa: 0.5438, kb_relative_information_score: 1404.1471, mean_absolute_error: 0.2302, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7721, predictive_accuracy: 0.7719, prior_entropy: 1, recall: 0.7719, relative_absolute_error: 0.4605, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4663, root_relative_squared_error: 0.9326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8014, f_measure: 0.7612, kappa: 0.5223, kb_relative_information_score: 1377.1541, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7612, predictive_accuracy: 0.7612, prior_entropy: 1, recall: 0.7612, relative_absolute_error: 0.4698, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4574, root_relative_squared_error: 0.9147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.7669, kappa: 0.5338, kb_relative_information_score: 1367.6947, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7671, predictive_accuracy: 0.7669, prior_entropy: 1, recall: 0.7669, relative_absolute_error: 0.4767, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.8698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.7638, kappa: 0.5277, kb_relative_information_score: 1330.3775, mean_absolute_error: 0.2464, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.764, predictive_accuracy: 0.7638, prior_entropy: 1, recall: 0.7638, relative_absolute_error: 0.4928, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.8571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7744, f_measure: 0.7622, kappa: 0.5246, kb_relative_information_score: 1364.9444, mean_absolute_error: 0.2372, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7629, predictive_accuracy: 0.7623, prior_entropy: 1, recall: 0.7623, relative_absolute_error: 0.4745, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4768, root_relative_squared_error: 0.9536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.78, kappa: 0.56, kb_relative_information_score: 1310.3234, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 1, recall: 0.78, relative_absolute_error: 0.5062, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4146, root_relative_squared_error: 0.8292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, f_measure: 0.7692, kappa: 0.5385, kb_relative_information_score: 1350.6073, mean_absolute_error: 0.2422, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7693, predictive_accuracy: 0.7692, prior_entropy: 1, recall: 0.7692, relative_absolute_error: 0.4845, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4358, root_relative_squared_error: 0.8716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, f_measure: 0.7888, kappa: 0.5777, kb_relative_information_score: 1359.7583, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7889, predictive_accuracy: 0.7888, prior_entropy: 1, recall: 0.7888, relative_absolute_error: 0.4862, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.7534, kappa: 0.5069, kb_relative_information_score: 1348.6045, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7537, predictive_accuracy: 0.7535, prior_entropy: 1, recall: 0.7535, relative_absolute_error: 0.4805, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4535, root_relative_squared_error: 0.9071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.7592, kappa: 0.5185, kb_relative_information_score: 1255.21, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7592, predictive_accuracy: 0.7592, prior_entropy: 1, recall: 0.7592, relative_absolute_error: 0.5243, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.8494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.7769, kappa: 0.5538, kb_relative_information_score: 1378.7432, mean_absolute_error: 0.2378, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7771, predictive_accuracy: 0.7769, prior_entropy: 1, recall: 0.7769, relative_absolute_error: 0.4756, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8022, f_measure: 0.7557, kappa: 0.5115, kb_relative_information_score: 1356.7193, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7559, predictive_accuracy: 0.7558, prior_entropy: 1, recall: 0.7558, relative_absolute_error: 0.477, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7782, f_measure: 0.7473, kappa: 0.4946, kb_relative_information_score: 1320.9053, mean_absolute_error: 0.245, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7473, predictive_accuracy: 0.7473, prior_entropy: 1, recall: 0.7473, relative_absolute_error: 0.49, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4808, root_relative_squared_error: 0.9617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.81, f_measure: 0.7727, kappa: 0.5454, kb_relative_information_score: 1387.7356, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7727, predictive_accuracy: 0.7727, prior_entropy: 1, recall: 0.7727, relative_absolute_error: 0.4694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.7758, kappa: 0.5515, kb_relative_information_score: 1412.1193, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7758, predictive_accuracy: 0.7758, prior_entropy: 1, recall: 0.7758, relative_absolute_error: 0.4588, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7796, kappa: 0.5592, kb_relative_information_score: 1394.3069, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7796, predictive_accuracy: 0.7796, prior_entropy: 1, recall: 0.7796, relative_absolute_error: 0.4686, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.7796, kappa: 0.5592, kb_relative_information_score: 1313.039, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7796, predictive_accuracy: 0.7796, prior_entropy: 1, recall: 0.7796, relative_absolute_error: 0.5046, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.7611, kappa: 0.5223, kb_relative_information_score: 1237.4265, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7616, predictive_accuracy: 0.7612, prior_entropy: 1, recall: 0.7612, relative_absolute_error: 0.5328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.7692, kappa: 0.5385, kb_relative_information_score: 1372.8769, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7693, predictive_accuracy: 0.7692, prior_entropy: 1, recall: 0.7692, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4521, root_relative_squared_error: 0.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.7522, kappa: 0.5046, kb_relative_information_score: 1348.7896, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7526, predictive_accuracy: 0.7523, prior_entropy: 1, recall: 0.7523, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.7842, kappa: 0.5685, kb_relative_information_score: 1291.6253, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7843, predictive_accuracy: 0.7842, prior_entropy: 1, recall: 0.7842, relative_absolute_error: 0.5164, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.7765, kappa: 0.5531, kb_relative_information_score: 1356.2917, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7765, predictive_accuracy: 0.7765, prior_entropy: 1, recall: 0.7765, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.765, kappa: 0.53, kb_relative_information_score: 1393.2488, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7651, predictive_accuracy: 0.765, prior_entropy: 1, recall: 0.765, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4584, root_relative_squared_error: 0.9169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8403, f_measure: 0.7854, kappa: 0.5708, kb_relative_information_score: 1296.0106, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7854, predictive_accuracy: 0.7854, prior_entropy: 1, recall: 0.7854, relative_absolute_error: 0.5148, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.778, kappa: 0.5562, kb_relative_information_score: 1250.243, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7783, predictive_accuracy: 0.7781, prior_entropy: 1, recall: 0.7781, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.7511, kappa: 0.5023, kb_relative_information_score: 1271.5871, mean_absolute_error: 0.2576, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7516, predictive_accuracy: 0.7512, prior_entropy: 1, recall: 0.7512, relative_absolute_error: 0.5153, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.8686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.7692, kappa: 0.5385, kb_relative_information_score: 1384.1208, mean_absolute_error: 0.235, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7692, predictive_accuracy: 0.7692, prior_entropy: 1, recall: 0.7692, relative_absolute_error: 0.4699, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.8771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7496, kappa: 0.4992, kb_relative_information_score: 1241.3186, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7496, predictive_accuracy: 0.7496, prior_entropy: 1, recall: 0.7496, relative_absolute_error: 0.5285, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.77, kappa: 0.54, kb_relative_information_score: 1351.1975, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7701, predictive_accuracy: 0.77, prior_entropy: 1, recall: 0.77, relative_absolute_error: 0.4843, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.8669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.7799, kappa: 0.56, kb_relative_information_score: 1255.5364, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7804, predictive_accuracy: 0.78, prior_entropy: 1, recall: 0.78, relative_absolute_error: 0.5311, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.758, kappa: 0.5162, kb_relative_information_score: 1373.4176, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7584, predictive_accuracy: 0.7581, prior_entropy: 1, recall: 0.7581, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4584, root_relative_squared_error: 0.9168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.7842, kappa: 0.5685, kb_relative_information_score: 1331.4226, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7842, predictive_accuracy: 0.7842, prior_entropy: 1, recall: 0.7842, relative_absolute_error: 0.4977, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.412, root_relative_squared_error: 0.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.761, kappa: 0.5223, kb_relative_information_score: 1230.4682, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7616, predictive_accuracy: 0.7612, prior_entropy: 1, recall: 0.7612, relative_absolute_error: 0.5363, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.8431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.7827, kappa: 0.5654, kb_relative_information_score: 1341.7666, mean_absolute_error: 0.2462, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7827, predictive_accuracy: 0.7827, prior_entropy: 1, recall: 0.7827, relative_absolute_error: 0.4924, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, f_measure: 0.7846, kappa: 0.5692, kb_relative_information_score: 1301.5439, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7846, predictive_accuracy: 0.7846, prior_entropy: 1, recall: 0.7846, relative_absolute_error: 0.5118, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7781, kappa: 0.5562, kb_relative_information_score: 1306.705, mean_absolute_error: 0.2537, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7781, predictive_accuracy: 0.7781, prior_entropy: 1, recall: 0.7781, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7796, kappa: 0.5592, kb_relative_information_score: 1394.3857, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7796, predictive_accuracy: 0.7796, prior_entropy: 1, recall: 0.7796, relative_absolute_error: 0.469, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4196, root_relative_squared_error: 0.8392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.7711, kappa: 0.5423, kb_relative_information_score: 1374.9585, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7715, predictive_accuracy: 0.7712, prior_entropy: 1, recall: 0.7712, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.7746, kappa: 0.5492, kb_relative_information_score: 1421.0471, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7747, predictive_accuracy: 0.7746, prior_entropy: 1, recall: 0.7746, relative_absolute_error: 0.453, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4666, root_relative_squared_error: 0.9333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.7557, kappa: 0.5115, kb_relative_information_score: 1353.6369, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7561, predictive_accuracy: 0.7558, prior_entropy: 1, recall: 0.7558, relative_absolute_error: 0.4788, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.9262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7757, kappa: 0.5515, kb_relative_information_score: 1247.0621, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7759, predictive_accuracy: 0.7758, prior_entropy: 1, recall: 0.7758, relative_absolute_error: 0.5338, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.7761, kappa: 0.5523, kb_relative_information_score: 1369.7765, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7762, predictive_accuracy: 0.7762, prior_entropy: 1, recall: 0.7762, relative_absolute_error: 0.4791, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.8388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.7857, kappa: 0.5715, kb_relative_information_score: 1318.0842, mean_absolute_error: 0.2524, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7859, predictive_accuracy: 0.7858, prior_entropy: 1, recall: 0.7858, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.7568, kappa: 0.5138, kb_relative_information_score: 1300.6767, mean_absolute_error: 0.2522, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7573, predictive_accuracy: 0.7569, prior_entropy: 1, recall: 0.7569, relative_absolute_error: 0.5043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.8577,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7515, kappa: 0.5031, kb_relative_information_score: 1248.6232, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7516, predictive_accuracy: 0.7515, prior_entropy: 1, recall: 0.7515, relative_absolute_error: 0.5259, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.8575,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.7777, kappa: 0.5554, kb_relative_information_score: 1372.9762, mean_absolute_error: 0.2391, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7777, predictive_accuracy: 0.7777, prior_entropy: 1, recall: 0.7777, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.8383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.7622, kappa: 0.5246, kb_relative_information_score: 1276.2173, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7627, predictive_accuracy: 0.7623, prior_entropy: 1, recall: 0.7623, relative_absolute_error: 0.5154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.8613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7881, f_measure: 0.7742, kappa: 0.5485, kb_relative_information_score: 1421.2076, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7742, predictive_accuracy: 0.7742, prior_entropy: 1, recall: 0.7742, relative_absolute_error: 0.4535, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.7777, kappa: 0.5554, kb_relative_information_score: 1385.2167, mean_absolute_error: 0.2365, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7778, predictive_accuracy: 0.7777, prior_entropy: 1, recall: 0.7777, relative_absolute_error: 0.473, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.7846, kappa: 0.5692, kb_relative_information_score: 1352.259, mean_absolute_error: 0.2443, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7846, predictive_accuracy: 0.7846, prior_entropy: 1, recall: 0.7846, relative_absolute_error: 0.4886, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.8253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.7792, kappa: 0.5585, kb_relative_information_score: 1312.9292, mean_absolute_error: 0.2524, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7792, predictive_accuracy: 0.7792, prior_entropy: 1, recall: 0.7792, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.8277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.7796, kappa: 0.5592, kb_relative_information_score: 1250.1157, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7798, predictive_accuracy: 0.7796, prior_entropy: 1, recall: 0.7796, relative_absolute_error: 0.5335, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.7715, kappa: 0.5431, kb_relative_information_score: 1390.2787, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7715, predictive_accuracy: 0.7715, prior_entropy: 1, recall: 0.7715, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.443, root_relative_squared_error: 0.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.7819, kappa: 0.5638, kb_relative_information_score: 1308.5264, mean_absolute_error: 0.2539, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.782, predictive_accuracy: 0.7819, prior_entropy: 1, recall: 0.7819, relative_absolute_error: 0.5079, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.8213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.7696, kappa: 0.5392, kb_relative_information_score: 1390.9538, mean_absolute_error: 0.2337, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7696, predictive_accuracy: 0.7696, prior_entropy: 1, recall: 0.7696, relative_absolute_error: 0.4674, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.8738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8403, f_measure: 0.7842, kappa: 0.5685, kb_relative_information_score: 1309.2526, mean_absolute_error: 0.2541, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7843, predictive_accuracy: 0.7842, prior_entropy: 1, recall: 0.7842, relative_absolute_error: 0.5081, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.8172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.7582, kappa: 0.5169, kb_relative_information_score: 1354.3753, mean_absolute_error: 0.2398, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7594, predictive_accuracy: 0.7585, prior_entropy: 1, recall: 0.7585, relative_absolute_error: 0.4796, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4511, root_relative_squared_error: 0.9021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.7753, kappa: 0.5508, kb_relative_information_score: 1370.306, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7756, predictive_accuracy: 0.7754, prior_entropy: 1, recall: 0.7754, relative_absolute_error: 0.4786, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.7531, kappa: 0.5062, kb_relative_information_score: 1351.2503, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7531, predictive_accuracy: 0.7531, prior_entropy: 1, recall: 0.7531, relative_absolute_error: 0.4787, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.9252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.7676, kappa: 0.5354, kb_relative_information_score: 1362.6233, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.768, predictive_accuracy: 0.7677, prior_entropy: 1, recall: 0.7677, relative_absolute_error: 0.4785, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.8683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.7769, kappa: 0.5538, kb_relative_information_score: 1392.7813, mean_absolute_error: 0.2346, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7769, predictive_accuracy: 0.7769, prior_entropy: 1, recall: 0.7769, relative_absolute_error: 0.4692, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.8374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.7519, kappa: 0.5038, kb_relative_information_score: 1335.8702, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7522, predictive_accuracy: 0.7519, prior_entropy: 1, recall: 0.7519, relative_absolute_error: 0.4855, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7619, kappa: 0.5238, kb_relative_information_score: 1268.8506, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7619, predictive_accuracy: 0.7619, prior_entropy: 1, recall: 0.7619, relative_absolute_error: 0.5192, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.422, root_relative_squared_error: 0.8439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.7811, kappa: 0.5623, kb_relative_information_score: 1277.9799, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7813, predictive_accuracy: 0.7812, prior_entropy: 1, recall: 0.7812, relative_absolute_error: 0.5214, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.7807, kappa: 0.5615, kb_relative_information_score: 1256.7305, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.781, predictive_accuracy: 0.7808, prior_entropy: 1, recall: 0.7808, relative_absolute_error: 0.531, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.7796, kappa: 0.5592, kb_relative_information_score: 1398.1199, mean_absolute_error: 0.2337, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7796, predictive_accuracy: 0.7796, prior_entropy: 1, recall: 0.7796, relative_absolute_error: 0.4675, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.7692, kappa: 0.5385, kb_relative_information_score: 1370.5313, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7694, predictive_accuracy: 0.7692, prior_entropy: 1, recall: 0.7692, relative_absolute_error: 0.4761, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.8638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.7546, kappa: 0.5092, kb_relative_information_score: 1236.6265, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7547, predictive_accuracy: 0.7546, prior_entropy: 1, recall: 0.7546, relative_absolute_error: 0.5316, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4258, root_relative_squared_error: 0.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.756, kappa: 0.5123, kb_relative_information_score: 1291.3218, mean_absolute_error: 0.2542, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7568, predictive_accuracy: 0.7562, prior_entropy: 1, recall: 0.7562, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.8627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.7715, kappa: 0.5431, kb_relative_information_score: 1378.0813, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7719, predictive_accuracy: 0.7715, prior_entropy: 1, recall: 0.7715, relative_absolute_error: 0.4736, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.8529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.7831, kappa: 0.5662, kb_relative_information_score: 1321.9732, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7831, predictive_accuracy: 0.7831, prior_entropy: 1, recall: 0.7831, relative_absolute_error: 0.5017, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.8249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7561, kappa: 0.5123, kb_relative_information_score: 1289.4358, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7565, predictive_accuracy: 0.7562, prior_entropy: 1, recall: 0.7562, relative_absolute_error: 0.509, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.7692, kappa: 0.5385, kb_relative_information_score: 1385.9867, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7693, predictive_accuracy: 0.7692, prior_entropy: 1, recall: 0.7692, relative_absolute_error: 0.4688, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.8985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8403, f_measure: 0.7846, kappa: 0.5692, kb_relative_information_score: 1292.2524, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7847, predictive_accuracy: 0.7846, prior_entropy: 1, recall: 0.7846, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.8166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.7796, kappa: 0.5592, kb_relative_information_score: 1442.4942, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7797, predictive_accuracy: 0.7796, prior_entropy: 1, recall: 0.7796, relative_absolute_error: 0.4465, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.8892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.7808, kappa: 0.5615, kb_relative_information_score: 1302.9436, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7808, predictive_accuracy: 0.7808, prior_entropy: 1, recall: 0.7808, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8134, f_measure: 0.7653, kappa: 0.5308, kb_relative_information_score: 1357.2517, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7656, predictive_accuracy: 0.7654, prior_entropy: 1, recall: 0.7654, relative_absolute_error: 0.4802, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.8836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, f_measure: 0.7642, kappa: 0.5285, kb_relative_information_score: 1367.3599, mean_absolute_error: 0.2382, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7642, predictive_accuracy: 0.7642, prior_entropy: 1, recall: 0.7642, relative_absolute_error: 0.4765, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.8861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.7558, kappa: 0.5115, kb_relative_information_score: 1261.2218, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7558, predictive_accuracy: 0.7558, prior_entropy: 1, recall: 0.7558, relative_absolute_error: 0.5215, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8558,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7808, kappa: 0.5615, kb_relative_information_score: 1339.4503, mean_absolute_error: 0.2464, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7808, predictive_accuracy: 0.7808, prior_entropy: 1, recall: 0.7808, relative_absolute_error: 0.4928, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.8296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.7777, kappa: 0.5554, kb_relative_information_score: 1399.3366, mean_absolute_error: 0.233, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7777, predictive_accuracy: 0.7777, prior_entropy: 1, recall: 0.7777, relative_absolute_error: 0.466, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8337,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, f_measure: 0.7623, kappa: 0.5246, kb_relative_information_score: 1349.96, mean_absolute_error: 0.2411, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7625, predictive_accuracy: 0.7623, prior_entropy: 1, recall: 0.7623, relative_absolute_error: 0.4821, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.8868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.7561, kappa: 0.5123, kb_relative_information_score: 1329.5296, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7566, predictive_accuracy: 0.7562, prior_entropy: 1, recall: 0.7562, relative_absolute_error: 0.4892, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.8984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.7542, kappa: 0.5085, kb_relative_information_score: 1317.0418, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7545, predictive_accuracy: 0.7542, prior_entropy: 1, recall: 0.7542, relative_absolute_error: 0.494, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.454, root_relative_squared_error: 0.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.7854, kappa: 0.5708, kb_relative_information_score: 1337.3601, mean_absolute_error: 0.2475, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7854, predictive_accuracy: 0.7854, prior_entropy: 1, recall: 0.7854, relative_absolute_error: 0.4949, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.8253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8434, f_measure: 0.7811, kappa: 0.5623, kb_relative_information_score: 1279.9284, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7813, predictive_accuracy: 0.7812, prior_entropy: 1, recall: 0.7812, relative_absolute_error: 0.5204, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.7684, kappa: 0.5369, kb_relative_information_score: 1344.4373, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7686, predictive_accuracy: 0.7685, prior_entropy: 1, recall: 0.7685, relative_absolute_error: 0.4866, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.8727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.7565, kappa: 0.5131, kb_relative_information_score: 1228.7708, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7567, predictive_accuracy: 0.7565, prior_entropy: 1, recall: 0.7565, relative_absolute_error: 0.5359, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.8482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.755, kappa: 0.51, kb_relative_information_score: 1235.0715, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7551, predictive_accuracy: 0.755, prior_entropy: 1, recall: 0.755, relative_absolute_error: 0.5324, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.8522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7815, kappa: 0.5631, kb_relative_information_score: 1345.4858, mean_absolute_error: 0.2454, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7815, predictive_accuracy: 0.7815, prior_entropy: 1, recall: 0.7815, relative_absolute_error: 0.4908, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.414, root_relative_squared_error: 0.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.765, kappa: 0.53, kb_relative_information_score: 1325.0566, mean_absolute_error: 0.2475, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7651, predictive_accuracy: 0.765, prior_entropy: 1, recall: 0.765, relative_absolute_error: 0.495, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8605,

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