OpenML
Supervised Classification on madelon

Supervised Classification on madelon

Task 9976 Supervised Classification madelon 54818 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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54818 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.7552, kappa: 0.5108, kb_relative_information_score: 1354.7724, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7561, predictive_accuracy: 0.7554, prior_entropy: 1, recall: 0.7554, relative_absolute_error: 0.4787, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.45, root_relative_squared_error: 0.9001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.7585, kappa: 0.5169, kb_relative_information_score: 1255.0773, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7585, predictive_accuracy: 0.7585, prior_entropy: 1, recall: 0.7585, relative_absolute_error: 0.524, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4245, root_relative_squared_error: 0.8489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7807, kappa: 0.5615, kb_relative_information_score: 1258.2517, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7809, predictive_accuracy: 0.7808, prior_entropy: 1, recall: 0.7808, relative_absolute_error: 0.5298, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8047, f_measure: 0.7572, kappa: 0.5146, kb_relative_information_score: 1329.0419, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7579, predictive_accuracy: 0.7573, prior_entropy: 1, recall: 0.7573, relative_absolute_error: 0.4896, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4515, root_relative_squared_error: 0.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7912, f_measure: 0.7588, kappa: 0.5177, kb_relative_information_score: 1383.4791, mean_absolute_error: 0.2332, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7589, predictive_accuracy: 0.7588, prior_entropy: 1, recall: 0.7588, relative_absolute_error: 0.4664, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.467, root_relative_squared_error: 0.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.7731, kappa: 0.5462, kb_relative_information_score: 1410.054, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7731, predictive_accuracy: 0.7731, prior_entropy: 1, recall: 0.7731, relative_absolute_error: 0.4581, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4659, root_relative_squared_error: 0.9319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7615, kappa: 0.5231, kb_relative_information_score: 1276.3881, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7617, predictive_accuracy: 0.7615, prior_entropy: 1, recall: 0.7615, relative_absolute_error: 0.516, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.78, kappa: 0.56, kb_relative_information_score: 1401.7296, mean_absolute_error: 0.2329, 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: 0.4659, 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: 0.8156, f_measure: 0.7635, kappa: 0.5269, kb_relative_information_score: 1324.4185, mean_absolute_error: 0.2471, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7635, predictive_accuracy: 0.7635, prior_entropy: 1, recall: 0.7635, relative_absolute_error: 0.4942, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.7479, kappa: 0.4962, kb_relative_information_score: 1320.7013, mean_absolute_error: 0.2454, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7486, predictive_accuracy: 0.7481, prior_entropy: 1, recall: 0.7481, relative_absolute_error: 0.4908, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.464, root_relative_squared_error: 0.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.78, kappa: 0.56, kb_relative_information_score: 1363.5738, mean_absolute_error: 0.2412, 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: 0.4823, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.8276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.76, kappa: 0.52, kb_relative_information_score: 1264.5827, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.76, predictive_accuracy: 0.76, prior_entropy: 1, recall: 0.76, relative_absolute_error: 0.5205, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4237, root_relative_squared_error: 0.8474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, f_measure: 0.7506, kappa: 0.5015, kb_relative_information_score: 1333.951, mean_absolute_error: 0.2429, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7513, predictive_accuracy: 0.7508, prior_entropy: 1, recall: 0.7508, relative_absolute_error: 0.4859, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.9144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.7588, kappa: 0.5177, kb_relative_information_score: 1364.2942, mean_absolute_error: 0.2373, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7592, predictive_accuracy: 0.7588, prior_entropy: 1, recall: 0.7588, relative_absolute_error: 0.4746, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4506, root_relative_squared_error: 0.9012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.7761, kappa: 0.5523, kb_relative_information_score: 1415.4653, mean_absolute_error: 0.2281, 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: 0.4562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.7602, kappa: 0.5208, kb_relative_information_score: 1370.3721, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7614, predictive_accuracy: 0.7604, prior_entropy: 1, recall: 0.7604, relative_absolute_error: 0.474, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.8684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.7638, kappa: 0.5277, kb_relative_information_score: 1331.571, mean_absolute_error: 0.2457, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7639, predictive_accuracy: 0.7638, prior_entropy: 1, recall: 0.7638, relative_absolute_error: 0.4915, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.8679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.7765, kappa: 0.5531, kb_relative_information_score: 1369.2158, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7766, predictive_accuracy: 0.7765, prior_entropy: 1, recall: 0.7765, relative_absolute_error: 0.4797, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8106, f_measure: 0.7731, kappa: 0.5462, kb_relative_information_score: 1393.7227, mean_absolute_error: 0.2328, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7731, predictive_accuracy: 0.7731, prior_entropy: 1, recall: 0.7731, relative_absolute_error: 0.4657, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.8914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.7561, kappa: 0.5123, kb_relative_information_score: 1234.2023, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7562, predictive_accuracy: 0.7562, prior_entropy: 1, recall: 0.7562, relative_absolute_error: 0.533, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.8524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.7769, kappa: 0.5538, kb_relative_information_score: 1351.2611, mean_absolute_error: 0.2436, 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: 0.4871, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.417, root_relative_squared_error: 0.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.7627, kappa: 0.5254, kb_relative_information_score: 1312.99, mean_absolute_error: 0.2497, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7627, predictive_accuracy: 0.7627, prior_entropy: 1, recall: 0.7627, relative_absolute_error: 0.4994, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.8762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.7823, kappa: 0.5646, kb_relative_information_score: 1256.7682, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7825, predictive_accuracy: 0.7823, prior_entropy: 1, recall: 0.7823, relative_absolute_error: 0.5313, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7945, f_measure: 0.7738, kappa: 0.5477, kb_relative_information_score: 1420.9066, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7739, predictive_accuracy: 0.7738, prior_entropy: 1, recall: 0.7738, relative_absolute_error: 0.4543, 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: 0.8421, f_measure: 0.7831, kappa: 0.5662, kb_relative_information_score: 1307.3482, mean_absolute_error: 0.2543, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7832, predictive_accuracy: 0.7831, prior_entropy: 1, recall: 0.7831, relative_absolute_error: 0.5087, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7713, f_measure: 0.7635, kappa: 0.5269, kb_relative_information_score: 1370.415, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7635, predictive_accuracy: 0.7635, prior_entropy: 1, recall: 0.7635, relative_absolute_error: 0.4726, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.48, root_relative_squared_error: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7481, kappa: 0.4962, kb_relative_information_score: 1241.5192, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7481, predictive_accuracy: 0.7481, prior_entropy: 1, recall: 0.7481, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.8624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.7784, kappa: 0.5569, kb_relative_information_score: 1246.0646, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7787, predictive_accuracy: 0.7785, prior_entropy: 1, recall: 0.7785, relative_absolute_error: 0.535, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.77, kappa: 0.54, kb_relative_information_score: 1382.458, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7702, predictive_accuracy: 0.77, prior_entropy: 1, recall: 0.77, relative_absolute_error: 0.4713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.7785, kappa: 0.5569, kb_relative_information_score: 1388.8643, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7785, predictive_accuracy: 0.7785, prior_entropy: 1, recall: 0.7785, relative_absolute_error: 0.4709, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.7622, kappa: 0.5246, kb_relative_information_score: 1283.6311, mean_absolute_error: 0.2561, 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: 0.5121, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4321, root_relative_squared_error: 0.8642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.7731, kappa: 0.5462, kb_relative_information_score: 1401.0193, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7731, predictive_accuracy: 0.7731, prior_entropy: 1, recall: 0.7731, relative_absolute_error: 0.4623, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.8952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7788, kappa: 0.5577, kb_relative_information_score: 1259.1441, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.779, predictive_accuracy: 0.7788, prior_entropy: 1, recall: 0.7788, relative_absolute_error: 0.5293, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.7704, kappa: 0.5408, kb_relative_information_score: 1398.5638, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7705, predictive_accuracy: 0.7704, prior_entropy: 1, recall: 0.7704, relative_absolute_error: 0.4624, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, f_measure: 0.7658, kappa: 0.5315, kb_relative_information_score: 1358.7672, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7658, predictive_accuracy: 0.7658, prior_entropy: 1, recall: 0.7658, relative_absolute_error: 0.4802, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.8755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7719, kappa: 0.5438, kb_relative_information_score: 1402.6611, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.772, predictive_accuracy: 0.7719, prior_entropy: 1, recall: 0.7719, relative_absolute_error: 0.462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.8775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.7819, kappa: 0.5638, kb_relative_information_score: 1320.3228, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7819, predictive_accuracy: 0.7819, prior_entropy: 1, recall: 0.7819, relative_absolute_error: 0.5019, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.7584, kappa: 0.5169, kb_relative_information_score: 1277.5114, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7588, predictive_accuracy: 0.7585, prior_entropy: 1, recall: 0.7585, relative_absolute_error: 0.5138, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.8615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.8403, kappa: 0.6808, kb_relative_information_score: 1011.8429, mean_absolute_error: 0.3294, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8408, predictive_accuracy: 0.8404, prior_entropy: 1, recall: 0.8404, relative_absolute_error: 0.6589, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.7411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.8362, kappa: 0.6723, kb_relative_information_score: 1307.1097, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8362, predictive_accuracy: 0.8362, prior_entropy: 1, recall: 0.8362, relative_absolute_error: 0.5348, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.6879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.821, kappa: 0.6423, kb_relative_information_score: 834.8341, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.822, predictive_accuracy: 0.8212, prior_entropy: 1, recall: 0.8212, relative_absolute_error: 0.7263, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3919, root_relative_squared_error: 0.7838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, f_measure: 0.6977, kappa: 0.3962, kb_relative_information_score: 271.3865, mean_absolute_error: 0.4594, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.699, predictive_accuracy: 0.6981, prior_entropy: 1, recall: 0.6981, relative_absolute_error: 0.9188, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4659, root_relative_squared_error: 0.9319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.8288, kappa: 0.6577, kb_relative_information_score: 1383.5482, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8289, predictive_accuracy: 0.8288, prior_entropy: 1, recall: 0.8288, relative_absolute_error: 0.4957, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.7062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.8054, kappa: 0.6108, kb_relative_information_score: 1291.9102, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8054, predictive_accuracy: 0.8054, prior_entropy: 1, recall: 0.8054, relative_absolute_error: 0.5268, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.7456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.8073, kappa: 0.6146, kb_relative_information_score: 1313.8696, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8073, predictive_accuracy: 0.8073, prior_entropy: 1, recall: 0.8073, relative_absolute_error: 0.5179, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.7444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.8354, kappa: 0.6708, kb_relative_information_score: 1398.4783, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8354, predictive_accuracy: 0.8354, prior_entropy: 1, recall: 0.8354, relative_absolute_error: 0.4912, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.6958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.8673, kappa: 0.7346, kb_relative_information_score: 1334.2193, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8673, predictive_accuracy: 0.8673, prior_entropy: 1, recall: 0.8673, relative_absolute_error: 0.5312, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.6611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.738, f_measure: 0.6676, kappa: 0.3362, kb_relative_information_score: 219.5737, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.669, predictive_accuracy: 0.6681, prior_entropy: 1, recall: 0.6681, relative_absolute_error: 0.9349, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4727, root_relative_squared_error: 0.9453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.8426, kappa: 0.6854, kb_relative_information_score: 1007.5775, mean_absolute_error: 0.3307, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8433, predictive_accuracy: 0.8427, prior_entropy: 1, recall: 0.8427, relative_absolute_error: 0.6614, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.7412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.8392, kappa: 0.6785, kb_relative_information_score: 1400.1828, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8393, predictive_accuracy: 0.8392, prior_entropy: 1, recall: 0.8392, relative_absolute_error: 0.4939, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3412, root_relative_squared_error: 0.6824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.8531, kappa: 0.7062, kb_relative_information_score: 1289.5452, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8531, predictive_accuracy: 0.8531, prior_entropy: 1, recall: 0.8531, relative_absolute_error: 0.5467, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.6784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.8519, kappa: 0.7038, kb_relative_information_score: 1400.6109, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8519, predictive_accuracy: 0.8519, prior_entropy: 1, recall: 0.8519, relative_absolute_error: 0.4978, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.6676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8315, kappa: 0.6631, kb_relative_information_score: 1038.2145, mean_absolute_error: 0.3229, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8318, predictive_accuracy: 0.8315, prior_entropy: 1, recall: 0.8315, relative_absolute_error: 0.6458, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.7927, kappa: 0.5854, kb_relative_information_score: 1389.603, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7927, predictive_accuracy: 0.7927, prior_entropy: 1, recall: 0.7927, relative_absolute_error: 0.4808, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.7709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.8227, kappa: 0.6454, kb_relative_information_score: 1049.6019, mean_absolute_error: 0.3201, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.823, predictive_accuracy: 0.8227, prior_entropy: 1, recall: 0.8227, relative_absolute_error: 0.6402, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.7468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.8538, kappa: 0.7077, kb_relative_information_score: 1385.4494, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8539, predictive_accuracy: 0.8538, prior_entropy: 1, recall: 0.8538, relative_absolute_error: 0.506, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.6636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7771, f_measure: 0.6993, kappa: 0.4015, kb_relative_information_score: 333.9828, mean_absolute_error: 0.4491, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7047, predictive_accuracy: 0.7008, prior_entropy: 1, recall: 0.7008, relative_absolute_error: 0.8982, 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: 0.904, f_measure: 0.835, kappa: 0.67, kb_relative_information_score: 934.2352, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8354, predictive_accuracy: 0.835, prior_entropy: 1, recall: 0.835, relative_absolute_error: 0.6889, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.7598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8354, kappa: 0.6708, kb_relative_information_score: 1017.2138, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8356, predictive_accuracy: 0.8354, prior_entropy: 1, recall: 0.8354, relative_absolute_error: 0.6563, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.8358, kappa: 0.6715, kb_relative_information_score: 1341.4093, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8358, predictive_accuracy: 0.8358, prior_entropy: 1, recall: 0.8358, relative_absolute_error: 0.5177, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3466, root_relative_squared_error: 0.6932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.8288, kappa: 0.6577, kb_relative_information_score: 1089.9356, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8291, predictive_accuracy: 0.8288, prior_entropy: 1, recall: 0.8288, relative_absolute_error: 0.6261, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.7351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.6288, kappa: 0.2577, kb_relative_information_score: 129.7779, mean_absolute_error: 0.4812, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6289, predictive_accuracy: 0.6288, prior_entropy: 1, recall: 0.6288, relative_absolute_error: 0.9625, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4841, root_relative_squared_error: 0.9682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.8253, kappa: 0.6508, kb_relative_information_score: 1042.985, mean_absolute_error: 0.3216, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8258, predictive_accuracy: 0.8254, prior_entropy: 1, recall: 0.8254, relative_absolute_error: 0.6433, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.7455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.8473, kappa: 0.6946, kb_relative_information_score: 1342.7805, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8473, predictive_accuracy: 0.8473, prior_entropy: 1, recall: 0.8473, relative_absolute_error: 0.5206, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.6807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8435, f_measure: 0.7677, kappa: 0.5354, kb_relative_information_score: 1292.8091, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7679, predictive_accuracy: 0.7677, prior_entropy: 1, recall: 0.7677, relative_absolute_error: 0.5118, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.8299, kappa: 0.66, kb_relative_information_score: 974.4729, mean_absolute_error: 0.3365, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8308, predictive_accuracy: 0.83, prior_entropy: 1, recall: 0.83, relative_absolute_error: 0.673, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.7525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.8658, kappa: 0.7315, kb_relative_information_score: 1351.4739, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8658, predictive_accuracy: 0.8658, prior_entropy: 1, recall: 0.8658, relative_absolute_error: 0.5239, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3287, root_relative_squared_error: 0.6574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8392, kappa: 0.6785, kb_relative_information_score: 1010.3361, mean_absolute_error: 0.3291, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8396, predictive_accuracy: 0.8392, prior_entropy: 1, recall: 0.8392, relative_absolute_error: 0.6581, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3723, root_relative_squared_error: 0.7445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8384, kappa: 0.6769, kb_relative_information_score: 984.8621, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8387, predictive_accuracy: 0.8385, prior_entropy: 1, recall: 0.8385, relative_absolute_error: 0.6691, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.7487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.7754, kappa: 0.5508, kb_relative_information_score: 1250.5015, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7755, predictive_accuracy: 0.7754, prior_entropy: 1, recall: 0.7754, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.8072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.8396, kappa: 0.6792, kb_relative_information_score: 1093.6669, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.84, predictive_accuracy: 0.8396, prior_entropy: 1, recall: 0.8396, relative_absolute_error: 0.626, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.7231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.8192, kappa: 0.6385, kb_relative_information_score: 1405.9061, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8192, predictive_accuracy: 0.8192, prior_entropy: 1, recall: 0.8192, relative_absolute_error: 0.4827, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.7215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.8642, kappa: 0.7285, kb_relative_information_score: 1284.8147, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8642, predictive_accuracy: 0.8642, prior_entropy: 1, recall: 0.8642, relative_absolute_error: 0.5522, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.6711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8354, kappa: 0.6708, kb_relative_information_score: 1084.6959, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8354, predictive_accuracy: 0.8354, prior_entropy: 1, recall: 0.8354, relative_absolute_error: 0.6282, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.7312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8569, kappa: 0.7138, kb_relative_information_score: 1344.8139, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8569, predictive_accuracy: 0.8569, prior_entropy: 1, recall: 0.8569, relative_absolute_error: 0.5232, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.6694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.8342, kappa: 0.6685, kb_relative_information_score: 1042.1175, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8344, predictive_accuracy: 0.8342, prior_entropy: 1, recall: 0.8342, relative_absolute_error: 0.6441, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.371, root_relative_squared_error: 0.7419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.7923, kappa: 0.5846, kb_relative_information_score: 1404.1498, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7923, predictive_accuracy: 0.7923, prior_entropy: 1, recall: 0.7923, relative_absolute_error: 0.4719, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.7872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8531, kappa: 0.7062, kb_relative_information_score: 1387.0033, mean_absolute_error: 0.2525, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8531, predictive_accuracy: 0.8531, prior_entropy: 1, recall: 0.8531, relative_absolute_error: 0.5051, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.6657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.8454, kappa: 0.6908, kb_relative_information_score: 1345.7353, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8454, predictive_accuracy: 0.8454, prior_entropy: 1, recall: 0.8454, relative_absolute_error: 0.5186, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3417, root_relative_squared_error: 0.6833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 1061.2505, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8403, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.6384, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.7337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.8376, kappa: 0.6754, kb_relative_information_score: 986.2636, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8381, predictive_accuracy: 0.8377, prior_entropy: 1, recall: 0.8377, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8604, kappa: 0.7208, kb_relative_information_score: 1364.1649, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8604, predictive_accuracy: 0.8604, prior_entropy: 1, recall: 0.8604, relative_absolute_error: 0.5174, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, f_measure: 0.8346, kappa: 0.6692, kb_relative_information_score: 1091.9758, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8349, predictive_accuracy: 0.8346, prior_entropy: 1, recall: 0.8346, relative_absolute_error: 0.6264, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.7296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.8242, kappa: 0.6485, kb_relative_information_score: 840.1472, mean_absolute_error: 0.3616, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8247, predictive_accuracy: 0.8242, prior_entropy: 1, recall: 0.8242, relative_absolute_error: 0.7231, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.7852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.8088, kappa: 0.6177, kb_relative_information_score: 1342.0348, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8089, predictive_accuracy: 0.8088, prior_entropy: 1, recall: 0.8088, relative_absolute_error: 0.5054, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.7453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.845, kappa: 0.69, kb_relative_information_score: 1007.4799, mean_absolute_error: 0.3308, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8453, predictive_accuracy: 0.845, prior_entropy: 1, recall: 0.845, relative_absolute_error: 0.6616, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.7419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.8449, kappa: 0.69, kb_relative_information_score: 953.4042, mean_absolute_error: 0.3414, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8456, predictive_accuracy: 0.845, prior_entropy: 1, recall: 0.845, relative_absolute_error: 0.6827, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, f_measure: 0.7927, kappa: 0.5854, kb_relative_information_score: 1400.3101, mean_absolute_error: 0.2372, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7927, predictive_accuracy: 0.7927, prior_entropy: 1, recall: 0.7927, relative_absolute_error: 0.4744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.7803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.8319, kappa: 0.6638, kb_relative_information_score: 1377.5834, mean_absolute_error: 0.2499, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8319, predictive_accuracy: 0.8319, prior_entropy: 1, recall: 0.8319, relative_absolute_error: 0.4999, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.6997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8481, kappa: 0.6962, kb_relative_information_score: 1044.5115, mean_absolute_error: 0.3237, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8482, predictive_accuracy: 0.8481, prior_entropy: 1, recall: 0.8481, relative_absolute_error: 0.6474, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8546, kappa: 0.7092, kb_relative_information_score: 1359.1976, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8547, predictive_accuracy: 0.8546, prior_entropy: 1, recall: 0.8546, relative_absolute_error: 0.5158, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.6713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.8304, kappa: 0.6608, kb_relative_information_score: 1042.7138, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8305, predictive_accuracy: 0.8304, prior_entropy: 1, recall: 0.8304, relative_absolute_error: 0.6433, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.7444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.8273, kappa: 0.6546, kb_relative_information_score: 1083.9041, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8275, predictive_accuracy: 0.8273, prior_entropy: 1, recall: 0.8273, relative_absolute_error: 0.6282, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.7311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.8292, kappa: 0.6585, kb_relative_information_score: 1413.1979, mean_absolute_error: 0.2417, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8293, predictive_accuracy: 0.8292, prior_entropy: 1, recall: 0.8292, relative_absolute_error: 0.4835, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.7041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.8588, kappa: 0.7177, kb_relative_information_score: 1324.1504, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8589, predictive_accuracy: 0.8588, prior_entropy: 1, recall: 0.8588, relative_absolute_error: 0.533, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.335, root_relative_squared_error: 0.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.849, f_measure: 0.7846, kappa: 0.5692, kb_relative_information_score: 1322.3305, mean_absolute_error: 0.2518, 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: 0.5037, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.7586, kappa: 0.5185, kb_relative_information_score: 533.6585, mean_absolute_error: 0.4162, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7618, predictive_accuracy: 0.7592, prior_entropy: 1, recall: 0.7592, relative_absolute_error: 0.8324, 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: 0.9081, f_measure: 0.8342, kappa: 0.6685, kb_relative_information_score: 1366.4122, mean_absolute_error: 0.2528, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8342, predictive_accuracy: 0.8342, prior_entropy: 1, recall: 0.8342, relative_absolute_error: 0.5056, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8427, kappa: 0.6854, kb_relative_information_score: 1062.0109, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.843, predictive_accuracy: 0.8427, prior_entropy: 1, recall: 0.8427, relative_absolute_error: 0.6393, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.7326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.828, kappa: 0.6562, kb_relative_information_score: 1050.6031, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8283, predictive_accuracy: 0.8281, prior_entropy: 1, recall: 0.8281, relative_absolute_error: 0.6404, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.743,

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