OpenML
Supervised Classification on madelon

Supervised Classification on madelon

Task 9976 Supervised Classification madelon 54819 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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54819 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.7781, kappa: 0.5562, kb_relative_information_score: 1314.9599, mean_absolute_error: 0.2518, 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: 0.5037, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.8264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.7634, kappa: 0.5269, kb_relative_information_score: 1326.9896, mean_absolute_error: 0.2472, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7637, predictive_accuracy: 0.7635, prior_entropy: 1, recall: 0.7635, relative_absolute_error: 0.4944, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.8593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.7838, kappa: 0.5677, kb_relative_information_score: 1309.9911, mean_absolute_error: 0.2541, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7839, predictive_accuracy: 0.7838, prior_entropy: 1, recall: 0.7838, relative_absolute_error: 0.5081, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.8218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8035, f_measure: 0.7569, kappa: 0.5138, kb_relative_information_score: 1327.8681, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7571, predictive_accuracy: 0.7569, prior_entropy: 1, recall: 0.7569, relative_absolute_error: 0.4904, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.9025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7862, f_measure: 0.7542, kappa: 0.5085, kb_relative_information_score: 1343.3378, mean_absolute_error: 0.2412, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7543, predictive_accuracy: 0.7542, prior_entropy: 1, recall: 0.7542, relative_absolute_error: 0.4823, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.9383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.7738, kappa: 0.5477, kb_relative_information_score: 1422.7712, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.774, predictive_accuracy: 0.7738, prior_entropy: 1, recall: 0.7738, relative_absolute_error: 0.4528, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7692, kappa: 0.5385, kb_relative_information_score: 1391.7323, mean_absolute_error: 0.2326, 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: 0.4652, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.464, root_relative_squared_error: 0.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.7657, kappa: 0.5315, kb_relative_information_score: 1334.6226, mean_absolute_error: 0.2457, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7659, predictive_accuracy: 0.7658, prior_entropy: 1, recall: 0.7658, relative_absolute_error: 0.4913, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.7692, kappa: 0.5385, kb_relative_information_score: 1401.0169, mean_absolute_error: 0.2309, 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: 0.4617, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4503, root_relative_squared_error: 0.9006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.7796, kappa: 0.5592, kb_relative_information_score: 1272.336, mean_absolute_error: 0.2617, 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: 0.5235, 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: 0.7933, f_measure: 0.7576, kappa: 0.5154, kb_relative_information_score: 1359.377, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7579, predictive_accuracy: 0.7577, prior_entropy: 1, recall: 0.7577, relative_absolute_error: 0.476, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4639, root_relative_squared_error: 0.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.7542, kappa: 0.5085, kb_relative_information_score: 1226.8803, mean_absolute_error: 0.268, 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: 0.5361, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4251, root_relative_squared_error: 0.8502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7888, f_measure: 0.7742, kappa: 0.5485, kb_relative_information_score: 1419.0035, mean_absolute_error: 0.2273, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7743, predictive_accuracy: 0.7742, prior_entropy: 1, recall: 0.7742, relative_absolute_error: 0.4545, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.463, root_relative_squared_error: 0.9261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7726, f_measure: 0.7626, kappa: 0.5254, kb_relative_information_score: 1370.0947, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.763, predictive_accuracy: 0.7627, prior_entropy: 1, recall: 0.7627, relative_absolute_error: 0.4728, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4779, root_relative_squared_error: 0.9558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.7604, kappa: 0.5208, kb_relative_information_score: 1276.5843, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7605, predictive_accuracy: 0.7604, prior_entropy: 1, recall: 0.7604, relative_absolute_error: 0.5157, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.8517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.7569, kappa: 0.5138, kb_relative_information_score: 1236.6551, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.757, predictive_accuracy: 0.7569, prior_entropy: 1, recall: 0.7569, relative_absolute_error: 0.5323, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.7715, kappa: 0.5431, kb_relative_information_score: 1378.4695, mean_absolute_error: 0.2365, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7717, predictive_accuracy: 0.7715, prior_entropy: 1, recall: 0.7715, relative_absolute_error: 0.4731, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.8615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.7846, kappa: 0.5692, kb_relative_information_score: 1268.3414, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7849, predictive_accuracy: 0.7846, prior_entropy: 1, recall: 0.7846, relative_absolute_error: 0.5266, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7769, kappa: 0.5538, kb_relative_information_score: 1379.6651, mean_absolute_error: 0.2374, 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: 0.4748, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.7715, kappa: 0.5431, kb_relative_information_score: 1366.3264, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7716, predictive_accuracy: 0.7715, prior_entropy: 1, recall: 0.7715, relative_absolute_error: 0.4784, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.8665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.755, kappa: 0.51, kb_relative_information_score: 1232.2495, mean_absolute_error: 0.2668, 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: 0.5337, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.8541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.7641, kappa: 0.5285, kb_relative_information_score: 1232.2395, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7649, predictive_accuracy: 0.7642, prior_entropy: 1, recall: 0.7642, relative_absolute_error: 0.5361, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4217, root_relative_squared_error: 0.8434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.7703, kappa: 0.5408, kb_relative_information_score: 1362.3651, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7708, predictive_accuracy: 0.7704, prior_entropy: 1, recall: 0.7704, relative_absolute_error: 0.4805, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8046, f_measure: 0.7723, kappa: 0.5446, kb_relative_information_score: 1384.126, mean_absolute_error: 0.2346, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7723, predictive_accuracy: 0.7723, prior_entropy: 1, recall: 0.7723, relative_absolute_error: 0.4693, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4511, root_relative_squared_error: 0.9023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.7603, kappa: 0.5208, kb_relative_information_score: 1280.6923, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7608, predictive_accuracy: 0.7604, prior_entropy: 1, recall: 0.7604, relative_absolute_error: 0.5128, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.8596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7908, f_measure: 0.7518, kappa: 0.5038, kb_relative_information_score: 1339.2323, mean_absolute_error: 0.2419, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7524, predictive_accuracy: 0.7519, prior_entropy: 1, recall: 0.7519, relative_absolute_error: 0.4837, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.7784, kappa: 0.5569, kb_relative_information_score: 1373.1614, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7786, predictive_accuracy: 0.7785, prior_entropy: 1, recall: 0.7785, relative_absolute_error: 0.4788, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.7815, kappa: 0.5631, kb_relative_information_score: 1396.0165, mean_absolute_error: 0.2345, 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: 0.4691, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.8318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.7838, kappa: 0.5677, kb_relative_information_score: 1336.735, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7839, predictive_accuracy: 0.7838, prior_entropy: 1, recall: 0.7838, relative_absolute_error: 0.4952, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.411, root_relative_squared_error: 0.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7808, kappa: 0.5615, kb_relative_information_score: 1307.4417, mean_absolute_error: 0.254, 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: 0.5081, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.7665, kappa: 0.5331, kb_relative_information_score: 1361.5653, mean_absolute_error: 0.2398, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7667, predictive_accuracy: 0.7665, prior_entropy: 1, recall: 0.7665, relative_absolute_error: 0.4796, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.8689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.7595, kappa: 0.5192, kb_relative_information_score: 1360.2836, mean_absolute_error: 0.2388, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7601, predictive_accuracy: 0.7596, prior_entropy: 1, recall: 0.7596, relative_absolute_error: 0.4776, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.7615, kappa: 0.5231, kb_relative_information_score: 1322.6195, mean_absolute_error: 0.2475, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7616, predictive_accuracy: 0.7615, prior_entropy: 1, recall: 0.7615, relative_absolute_error: 0.4949, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.8702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.7669, kappa: 0.5338, kb_relative_information_score: 1390.3865, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7669, predictive_accuracy: 0.7669, prior_entropy: 1, recall: 0.7669, relative_absolute_error: 0.4661, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.8992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, f_measure: 0.765, kappa: 0.53, kb_relative_information_score: 1361.5497, mean_absolute_error: 0.2391, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7652, predictive_accuracy: 0.765, prior_entropy: 1, recall: 0.765, relative_absolute_error: 0.4783, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.8735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.7611, kappa: 0.5223, kb_relative_information_score: 1230.5019, mean_absolute_error: 0.2681, 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: 0.422, root_relative_squared_error: 0.8441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.7781, kappa: 0.5562, kb_relative_information_score: 1361.3191, mean_absolute_error: 0.2416, 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: 0.4833, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.8323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8031, f_measure: 0.7681, kappa: 0.5362, kb_relative_information_score: 1408.1227, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7681, predictive_accuracy: 0.7681, prior_entropy: 1, recall: 0.7681, relative_absolute_error: 0.4584, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.7734, kappa: 0.5469, kb_relative_information_score: 1375.5481, mean_absolute_error: 0.2375, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7737, predictive_accuracy: 0.7735, prior_entropy: 1, recall: 0.7735, relative_absolute_error: 0.475, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4321, root_relative_squared_error: 0.8643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, f_measure: 0.7658, kappa: 0.5315, kb_relative_information_score: 1362.3762, mean_absolute_error: 0.2392, 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: 0.4784, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.8856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.768, kappa: 0.5362, kb_relative_information_score: 1364.5288, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7684, predictive_accuracy: 0.7681, prior_entropy: 1, recall: 0.7681, relative_absolute_error: 0.4785, 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: 0.8411, f_measure: 0.7842, kappa: 0.5685, kb_relative_information_score: 1309.9726, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7844, predictive_accuracy: 0.7842, prior_entropy: 1, recall: 0.7842, relative_absolute_error: 0.5079, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.7718, kappa: 0.5438, kb_relative_information_score: 1386.5978, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7723, predictive_accuracy: 0.7719, prior_entropy: 1, recall: 0.7719, relative_absolute_error: 0.4703, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.7719, kappa: 0.5438, kb_relative_information_score: 1417.9248, mean_absolute_error: 0.2272, 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: 0.4545, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4699, root_relative_squared_error: 0.9397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.7773, kappa: 0.5546, kb_relative_information_score: 1377.3769, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7774, predictive_accuracy: 0.7773, prior_entropy: 1, recall: 0.7773, relative_absolute_error: 0.4765, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.7669, kappa: 0.5338, kb_relative_information_score: 1394.5513, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7669, predictive_accuracy: 0.7669, prior_entropy: 1, recall: 0.7669, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4605, root_relative_squared_error: 0.9211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.7615, kappa: 0.5231, kb_relative_information_score: 1259.4708, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7615, predictive_accuracy: 0.7615, prior_entropy: 1, recall: 0.7615, relative_absolute_error: 0.5233, 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: 0.8383, f_measure: 0.7777, kappa: 0.5554, kb_relative_information_score: 1270.3487, mean_absolute_error: 0.2619, 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: 0.5238, 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: 0.8161, f_measure: 0.7715, kappa: 0.5431, kb_relative_information_score: 1393.9248, mean_absolute_error: 0.2334, 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: 0.4668, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.8777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.7634, kappa: 0.5269, kb_relative_information_score: 1322.7743, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7636, predictive_accuracy: 0.7635, prior_entropy: 1, recall: 0.7635, relative_absolute_error: 0.4958, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.8669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, f_measure: 0.7819, kappa: 0.5638, kb_relative_information_score: 1382.6233, mean_absolute_error: 0.2375, 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: 0.4749, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.7565, kappa: 0.5131, kb_relative_information_score: 1227.5464, mean_absolute_error: 0.2681, 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: 0.5362, 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: 0.8264, f_measure: 0.7572, kappa: 0.5146, kb_relative_information_score: 1296.3399, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7578, predictive_accuracy: 0.7573, prior_entropy: 1, recall: 0.7573, relative_absolute_error: 0.5061, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.8598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, f_measure: 0.7773, kappa: 0.5546, kb_relative_information_score: 1275.4689, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7774, predictive_accuracy: 0.7773, prior_entropy: 1, recall: 0.7773, relative_absolute_error: 0.5214, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.78, kappa: 0.56, kb_relative_information_score: 1362.7424, mean_absolute_error: 0.2416, 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: 0.4832, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.8303,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8163, f_measure: 0.7626, kappa: 0.5254, kb_relative_information_score: 1359.0838, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7632, predictive_accuracy: 0.7627, prior_entropy: 1, recall: 0.7627, relative_absolute_error: 0.4786, 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: 0.8252, f_measure: 0.75, kappa: 0.5, kb_relative_information_score: 1242.5996, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.75, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.5282, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8162, f_measure: 0.7704, kappa: 0.5408, kb_relative_information_score: 1419.0204, mean_absolute_error: 0.2273, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7704, predictive_accuracy: 0.7704, prior_entropy: 1, recall: 0.7704, relative_absolute_error: 0.4545, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4429, root_relative_squared_error: 0.8857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.7588, kappa: 0.5177, kb_relative_information_score: 1348.7744, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.759, predictive_accuracy: 0.7588, prior_entropy: 1, recall: 0.7588, relative_absolute_error: 0.4808, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4821, root_relative_squared_error: 0.9641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.7723, kappa: 0.5446, kb_relative_information_score: 1413.2076, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7723, predictive_accuracy: 0.7723, prior_entropy: 1, recall: 0.7723, relative_absolute_error: 0.4567, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4565, root_relative_squared_error: 0.9129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.7599, kappa: 0.52, kb_relative_information_score: 1218.8766, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7604, predictive_accuracy: 0.76, prior_entropy: 1, recall: 0.76, relative_absolute_error: 0.541, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.8472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7765, kappa: 0.5531, kb_relative_information_score: 1381.8385, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7767, predictive_accuracy: 0.7765, prior_entropy: 1, recall: 0.7765, relative_absolute_error: 0.4739, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.8351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.763, kappa: 0.5262, kb_relative_information_score: 1301.2068, mean_absolute_error: 0.2522, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7634, predictive_accuracy: 0.7631, prior_entropy: 1, recall: 0.7631, relative_absolute_error: 0.5044, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4257, root_relative_squared_error: 0.8515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, f_measure: 0.7556, kappa: 0.5115, kb_relative_information_score: 1341.8819, mean_absolute_error: 0.2415, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7563, predictive_accuracy: 0.7558, prior_entropy: 1, recall: 0.7558, relative_absolute_error: 0.4831, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.7812, kappa: 0.5623, kb_relative_information_score: 1315.6613, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7812, predictive_accuracy: 0.7812, prior_entropy: 1, recall: 0.7812, relative_absolute_error: 0.5038, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.8278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.7513, kappa: 0.5031, kb_relative_information_score: 1340.2421, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7524, predictive_accuracy: 0.7515, prior_entropy: 1, recall: 0.7515, relative_absolute_error: 0.4842, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.447, root_relative_squared_error: 0.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, f_measure: 0.7869, kappa: 0.5738, kb_relative_information_score: 1342.916, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.787, predictive_accuracy: 0.7869, prior_entropy: 1, recall: 0.7869, relative_absolute_error: 0.4933, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.768, kappa: 0.5362, kb_relative_information_score: 1338.6785, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7682, predictive_accuracy: 0.7681, prior_entropy: 1, recall: 0.7681, relative_absolute_error: 0.4892, 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: 0.8375, f_measure: 0.7781, kappa: 0.5562, kb_relative_information_score: 1386.5007, mean_absolute_error: 0.2362, 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: 0.4725, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.8349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7769, kappa: 0.5538, kb_relative_information_score: 1385.0368, mean_absolute_error: 0.2361, 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: 0.4722, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.8462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.7696, kappa: 0.5392, kb_relative_information_score: 1343.2167, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7697, predictive_accuracy: 0.7696, prior_entropy: 1, recall: 0.7696, relative_absolute_error: 0.4875, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8133, f_measure: 0.7533, kappa: 0.5069, kb_relative_information_score: 1338.0089, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7542, predictive_accuracy: 0.7535, prior_entropy: 1, recall: 0.7535, relative_absolute_error: 0.4853, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4461, root_relative_squared_error: 0.8923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.775, kappa: 0.55, kb_relative_information_score: 1414.8231, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.775, predictive_accuracy: 0.775, prior_entropy: 1, recall: 0.775, relative_absolute_error: 0.4565, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.458, root_relative_squared_error: 0.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.7781, kappa: 0.5562, kb_relative_information_score: 1315.5874, mean_absolute_error: 0.2517, 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: 0.5033, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.8264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.7634, kappa: 0.5269, kb_relative_information_score: 1333.3997, mean_absolute_error: 0.2454, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7636, predictive_accuracy: 0.7635, prior_entropy: 1, recall: 0.7635, relative_absolute_error: 0.4908, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.8583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.7842, kappa: 0.5685, kb_relative_information_score: 1360.3092, mean_absolute_error: 0.2425, 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: 0.485, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7862, f_measure: 0.7542, kappa: 0.5085, kb_relative_information_score: 1355.3773, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7544, predictive_accuracy: 0.7542, prior_entropy: 1, recall: 0.7542, relative_absolute_error: 0.4768, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4725, root_relative_squared_error: 0.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.7637, kappa: 0.5277, kb_relative_information_score: 1366.9402, mean_absolute_error: 0.2375, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7644, predictive_accuracy: 0.7638, prior_entropy: 1, recall: 0.7638, relative_absolute_error: 0.475, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.8722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8169, f_measure: 0.7661, kappa: 0.5323, kb_relative_information_score: 1326.1955, mean_absolute_error: 0.2471, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7662, predictive_accuracy: 0.7662, prior_entropy: 1, recall: 0.7662, relative_absolute_error: 0.4941, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.7527, kappa: 0.5054, kb_relative_information_score: 1253.943, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7527, predictive_accuracy: 0.7527, prior_entropy: 1, recall: 0.7527, relative_absolute_error: 0.5239, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.7499, kappa: 0.5, kb_relative_information_score: 1330.377, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7504, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.4876, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4571, root_relative_squared_error: 0.9143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.7484, kappa: 0.4969, kb_relative_information_score: 1240.5679, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7485, predictive_accuracy: 0.7485, prior_entropy: 1, recall: 0.7485, relative_absolute_error: 0.5285, 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: 0.8315, f_measure: 0.7575, kappa: 0.5154, kb_relative_information_score: 1227.4274, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7583, predictive_accuracy: 0.7577, prior_entropy: 1, recall: 0.7577, relative_absolute_error: 0.5369, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4221, root_relative_squared_error: 0.8443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.7826, kappa: 0.5654, kb_relative_information_score: 1259.4438, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7831, predictive_accuracy: 0.7827, prior_entropy: 1, recall: 0.7827, relative_absolute_error: 0.53, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.7592, kappa: 0.5185, kb_relative_information_score: 1253.6492, mean_absolute_error: 0.2626, 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: 0.5251, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.8491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.7807, kappa: 0.5615, kb_relative_information_score: 1259.8637, mean_absolute_error: 0.2647, 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: 0.5294, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7642, kappa: 0.5285, kb_relative_information_score: 1330.1182, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7644, predictive_accuracy: 0.7642, prior_entropy: 1, recall: 0.7642, relative_absolute_error: 0.4917, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.439, root_relative_squared_error: 0.8779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, f_measure: 0.7619, kappa: 0.5238, kb_relative_information_score: 1350.0315, mean_absolute_error: 0.2417, 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: 0.4834, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.8818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.7808, kappa: 0.5615, kb_relative_information_score: 1271.6895, mean_absolute_error: 0.2621, 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: 0.5243, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8047, f_measure: 0.7638, kappa: 0.5277, kb_relative_information_score: 1374.3234, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7638, predictive_accuracy: 0.7638, prior_entropy: 1, recall: 0.7638, relative_absolute_error: 0.4724, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4531, root_relative_squared_error: 0.9062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.7569, kappa: 0.5138, kb_relative_information_score: 1369.5092, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.757, predictive_accuracy: 0.7569, prior_entropy: 1, recall: 0.7569, relative_absolute_error: 0.4716, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4711, root_relative_squared_error: 0.9423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.7555, kappa: 0.5115, kb_relative_information_score: 1364.1997, mean_absolute_error: 0.2374, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7567, predictive_accuracy: 0.7558, prior_entropy: 1, recall: 0.7558, relative_absolute_error: 0.4748, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7515, kappa: 0.5031, kb_relative_information_score: 1249.8525, mean_absolute_error: 0.2626, 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: 0.5251, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.8593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.7885, kappa: 0.5769, kb_relative_information_score: 1347.179, mean_absolute_error: 0.2457, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7885, predictive_accuracy: 0.7885, prior_entropy: 1, recall: 0.7885, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7855, f_measure: 0.7688, kappa: 0.5377, kb_relative_information_score: 1395.6585, mean_absolute_error: 0.2316, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7688, predictive_accuracy: 0.7688, prior_entropy: 1, recall: 0.7688, relative_absolute_error: 0.4632, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4675, root_relative_squared_error: 0.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.7827, kappa: 0.5654, kb_relative_information_score: 1292.6396, mean_absolute_error: 0.2577, 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: 0.5153, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.8203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.7638, kappa: 0.5277, kb_relative_information_score: 1387.4523, mean_absolute_error: 0.2328, 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: 0.4657, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.9218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.7595, kappa: 0.5192, kb_relative_information_score: 1223.8328, mean_absolute_error: 0.2692, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7603, predictive_accuracy: 0.7596, prior_entropy: 1, recall: 0.7596, relative_absolute_error: 0.5384, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.8471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.7569, kappa: 0.5138, kb_relative_information_score: 1256.5111, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7569, predictive_accuracy: 0.7569, prior_entropy: 1, recall: 0.7569, relative_absolute_error: 0.5233, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.8488,

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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Use one of our APIs to download data from OpenML and upload your results

OpenML APIs