OpenML
Supervised Classification on iris

Supervised Classification on iris

Task 59 Supervised Classification iris 4584 runs submitted
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  • basic study_1 study_41 study_50 study_7 study_89 testsuite under100k under1m
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4584 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 132.6884, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1374, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 129.5304, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1669, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.4261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 135.3125, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1281, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.2833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.1974, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 117.7984, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.2837, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.4322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 137.1653, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1178, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1163, root_relative_squared_error: 0.2467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9133, kappa: 0.87, kb_relative_information_score: 101.0477, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9134, predictive_accuracy: 0.9133, prior_entropy: 1.585, recall: 0.9133, relative_absolute_error: 0.4167, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2661, root_relative_squared_error: 0.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.6998, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.4054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 131.3212, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 138.6044, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.3707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0999, kb_relative_information_score: 1.2327, mean_absolute_error: 0.4447, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.472, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 131.9529, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1471, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.4006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, kb_relative_information_score: 0.6596, mean_absolute_error: 0.4442, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4711, root_relative_squared_error: 0.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.9471, kappa: 0.92, kb_relative_information_score: 137.3715, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9479, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.183, root_relative_squared_error: 0.3881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.8468, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1195, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 131.8507, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1489, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.4087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 132.162, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.941, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1442, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 135.8312, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9619, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1252, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1271, root_relative_squared_error: 0.2697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9263, kappa: 0.89, kb_relative_information_score: 105.4249, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9319, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.3829, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.5285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1691, kb_relative_information_score: 4.0461, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4745, root_relative_squared_error: 1.0065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1687, kb_relative_information_score: 0.9418, mean_absolute_error: 0.4466, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0048, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4742, root_relative_squared_error: 1.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 135.477, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1304, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.2762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.4049, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 134.6199, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9471, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1277, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.3369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2179, kappa: -0.5, kb_relative_information_score: -0.6986, mean_absolute_error: 0.4467, mean_prior_absolute_error: 0.4444, number_of_instances: 150, prior_entropy: 1.585, relative_absolute_error: 1.0051, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4738, root_relative_squared_error: 1.0052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3756, kb_relative_information_score: 1.0214, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 136.8152, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9678, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1204, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1191, root_relative_squared_error: 0.2526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.1081, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9471, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1475, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.4026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9066, kappa: 0.86, kb_relative_information_score: 120.1542, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9071, predictive_accuracy: 0.9067, prior_entropy: 1.585, recall: 0.9067, relative_absolute_error: 0.2484, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.4489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 135.5557, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1256, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.2822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.8999, kappa: 0.85, kb_relative_information_score: 120.2236, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9008, predictive_accuracy: 0.9, prior_entropy: 1.585, recall: 0.9, relative_absolute_error: 0.252, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 131.4919, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1469, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.4301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9469, kappa: 0.92, kb_relative_information_score: 129.2429, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9475, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.3693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 118.3167, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.2781, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.4393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3361, kappa: -0.47, kb_relative_information_score: -0.2108, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.02, prior_entropy: 1.585, recall: 0.02, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4721, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1416, kb_relative_information_score: 0.7129, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4728, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 132.8886, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1543, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.2999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.3316, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1527, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.4101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 116.7148, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.2892, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 132.5238, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1406, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.4033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.9953, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1468, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.4037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 131.8569, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1492, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.4038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.619, kappa: 0.52, kb_relative_information_score: 67.7005, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.7037, predictive_accuracy: 0.68, prior_entropy: 1.585, recall: 0.68, relative_absolute_error: 0.6435, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3523, root_relative_squared_error: 0.7473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 130.6308, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.4048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9403, kappa: 0.91, kb_relative_information_score: 128.5434, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9431, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1808, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.3801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 136.5107, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.12, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1268, root_relative_squared_error: 0.269,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, build_cpu_time: 0.0164, build_memory: 1452069830.4, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 142.6476, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.0549, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1506, root_relative_squared_error: 0.3196, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, build_cpu_time: 0.0219, build_memory: 1394366586.4, f_measure: 0.9339, kappa: 0.9, kb_relative_information_score: 136.9603, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.936, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.0956, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4309, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, build_cpu_time: 0.0057, build_memory: 900663416, f_measure: 0.9339, kappa: 0.9, kb_relative_information_score: 136.4734, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.936, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1001, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.4337, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, build_cpu_time: 0.0181, build_memory: 1436976034.4, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 142.6604, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.0548, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1506, root_relative_squared_error: 0.3196, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, build_cpu_time: 0.3837, build_memory: 82969854.4, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.7856, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3464, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, build_cpu_time: 0.0123, build_memory: 318361644.8, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 138.6044, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.3707, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, build_cpu_time: 0.0378, build_memory: 300571503.2, f_measure: 0.9339, kappa: 0.9, kb_relative_information_score: 136.9903, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.936, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.0953, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4308, scimark_benchmark: 908.2898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 140.1339, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.0761, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.3265, scimark_benchmark: 1858.5835, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 140.1339, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.0761, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.3265, scimark_benchmark: 1858.5835,

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