OpenML
Supervised Classification on scene

Supervised Classification on scene

Task 3485 Supervised Classification scene 87577 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_7 under100k under1m
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87577 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9659, kappa: 0.8802, kb_relative_information_score: 1650.9403, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9682, predictive_accuracy: 0.9672, prior_entropy: 0.6786, recall: 0.9672, relative_absolute_error: 0.3604, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.4808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.8356, kappa: 0.3748, kb_relative_information_score: 660.2814, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8813, predictive_accuracy: 0.8679, prior_entropy: 0.6786, recall: 0.8679, relative_absolute_error: 0.7137, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2959, root_relative_squared_error: 0.7717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9581, kappa: 0.8517, kb_relative_information_score: 1599.5073, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9618, predictive_accuracy: 0.9601, prior_entropy: 0.6786, recall: 0.9601, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.5097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9604, kappa: 0.8601, kb_relative_information_score: 1671.2317, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9637, predictive_accuracy: 0.9622, prior_entropy: 0.6786, recall: 0.9622, relative_absolute_error: 0.3458, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.4886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9778, kappa: 0.9229, kb_relative_information_score: 2070.251, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.979, predictive_accuracy: 0.9784, prior_entropy: 0.6786, recall: 0.9784, relative_absolute_error: 0.1516, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.3577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.9608, kappa: 0.8615, kb_relative_information_score: 1856.4611, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9642, predictive_accuracy: 0.9626, prior_entropy: 0.6786, recall: 0.9626, relative_absolute_error: 0.2426, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.4585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.9447, kappa: 0.8079, kb_relative_information_score: 1721.4362, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9447, predictive_accuracy: 0.946, prior_entropy: 0.6786, recall: 0.946, relative_absolute_error: 0.2362, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.5605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9787, kappa: 0.9261, kb_relative_information_score: 1963.473, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9797, predictive_accuracy: 0.9792, prior_entropy: 0.6786, recall: 0.9792, relative_absolute_error: 0.2124, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.3801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9544, kappa: 0.8381, kb_relative_information_score: 1590.5928, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9588, predictive_accuracy: 0.9568, prior_entropy: 0.6786, recall: 0.9568, relative_absolute_error: 0.3942, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.5147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9521, kappa: 0.8294, kb_relative_information_score: 1504.3284, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9569, predictive_accuracy: 0.9547, prior_entropy: 0.6786, recall: 0.9547, relative_absolute_error: 0.4232, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.5364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.9499, kappa: 0.8239, kb_relative_information_score: 1778.5458, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9515, predictive_accuracy: 0.9518, prior_entropy: 0.6786, recall: 0.9518, relative_absolute_error: 0.2305, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.201, root_relative_squared_error: 0.5243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9574, kappa: 0.8492, kb_relative_information_score: 1629.6168, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9605, predictive_accuracy: 0.9593, prior_entropy: 0.6786, recall: 0.9593, relative_absolute_error: 0.3647, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.5003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9386, kappa: 0.7794, kb_relative_information_score: 1367.4266, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9452, predictive_accuracy: 0.9427, prior_entropy: 0.6786, recall: 0.9427, relative_absolute_error: 0.478, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.5803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9441, kappa: 0.7994, kb_relative_information_score: 1367.0759, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9506, predictive_accuracy: 0.9477, prior_entropy: 0.6786, recall: 0.9477, relative_absolute_error: 0.4763, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.5719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9554, kappa: 0.8415, kb_relative_information_score: 1548.0644, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9595, predictive_accuracy: 0.9576, prior_entropy: 0.6786, recall: 0.9576, relative_absolute_error: 0.4075, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.5238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9682, kappa: 0.8883, kb_relative_information_score: 1689.1015, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9701, predictive_accuracy: 0.9693, prior_entropy: 0.6786, recall: 0.9693, relative_absolute_error: 0.3398, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.4683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9604, kappa: 0.8601, kb_relative_information_score: 1599.9878, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9637, predictive_accuracy: 0.9622, prior_entropy: 0.6786, recall: 0.9622, relative_absolute_error: 0.3862, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.4994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9778, kappa: 0.9229, kb_relative_information_score: 1992.6088, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.979, predictive_accuracy: 0.9784, prior_entropy: 0.6786, recall: 0.9784, relative_absolute_error: 0.2044, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.3686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.977, kappa: 0.9198, kb_relative_information_score: 1932.968, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9782, predictive_accuracy: 0.9776, prior_entropy: 0.6786, recall: 0.9776, relative_absolute_error: 0.2314, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.149, root_relative_squared_error: 0.3885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.964, kappa: 0.8732, kb_relative_information_score: 1824.4743, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9669, predictive_accuracy: 0.9655, prior_entropy: 0.6786, recall: 0.9655, relative_absolute_error: 0.2779, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.4474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9628, kappa: 0.8687, kb_relative_information_score: 1784.0461, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9655, predictive_accuracy: 0.9643, prior_entropy: 0.6786, recall: 0.9643, relative_absolute_error: 0.2926, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.4608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.7783, kappa: 0.1472, kb_relative_information_score: 524.7086, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8647, predictive_accuracy: 0.838, prior_entropy: 0.6786, recall: 0.838, relative_absolute_error: 0.7709, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.8121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9354, kappa: 0.7669, kb_relative_information_score: 1281.7736, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9437, predictive_accuracy: 0.9402, prior_entropy: 0.6786, recall: 0.9402, relative_absolute_error: 0.5133, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.6032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9774, kappa: 0.9213, kb_relative_information_score: 1938.1516, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9786, predictive_accuracy: 0.978, prior_entropy: 0.6786, recall: 0.978, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1493, root_relative_squared_error: 0.3895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.9465, kappa: 0.8118, kb_relative_information_score: 1716.9457, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9479, predictive_accuracy: 0.9485, prior_entropy: 0.6786, recall: 0.9485, relative_absolute_error: 0.2468, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.5499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9563, kappa: 0.8452, kb_relative_information_score: 1611.5787, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9601, predictive_accuracy: 0.9585, prior_entropy: 0.6786, recall: 0.9585, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.98, kappa: 0.9306, kb_relative_information_score: 2049.4509, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9809, predictive_accuracy: 0.9805, prior_entropy: 0.6786, recall: 0.9805, relative_absolute_error: 0.1672, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.3564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9787, kappa: 0.926, kb_relative_information_score: 2000.9936, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9797, predictive_accuracy: 0.9792, prior_entropy: 0.6786, recall: 0.9792, relative_absolute_error: 0.2002, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.14, root_relative_squared_error: 0.3651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9695, kappa: 0.8932, kb_relative_information_score: 1729.6106, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9713, predictive_accuracy: 0.9705, prior_entropy: 0.6786, recall: 0.9705, relative_absolute_error: 0.3211, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.4551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9476, kappa: 0.8134, kb_relative_information_score: 1489.9862, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9523, predictive_accuracy: 0.9506, prior_entropy: 0.6786, recall: 0.9506, relative_absolute_error: 0.4276, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.5435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.9177, kappa: 0.6993, kb_relative_information_score: 1094.6873, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.931, predictive_accuracy: 0.9256, prior_entropy: 0.6786, recall: 0.9256, relative_absolute_error: 0.5771, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2521, root_relative_squared_error: 0.6576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9619, kappa: 0.8657, kb_relative_information_score: 1653.8469, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9646, predictive_accuracy: 0.9634, prior_entropy: 0.6786, recall: 0.9634, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.4897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9672, kappa: 0.8847, kb_relative_information_score: 1851.3026, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9696, predictive_accuracy: 0.9684, prior_entropy: 0.6786, recall: 0.9684, relative_absolute_error: 0.261, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.4402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.868, kappa: 0.5103, kb_relative_information_score: 892.3218, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.882, predictive_accuracy: 0.8845, prior_entropy: 0.6786, recall: 0.8845, relative_absolute_error: 0.6083, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2965, root_relative_squared_error: 0.7732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9399, kappa: 0.7844, kb_relative_information_score: 1310.4814, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9465, predictive_accuracy: 0.9439, prior_entropy: 0.6786, recall: 0.9439, relative_absolute_error: 0.4977, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.5891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.954, kappa: 0.8363, kb_relative_information_score: 1450.6264, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9584, predictive_accuracy: 0.9564, prior_entropy: 0.6786, recall: 0.9564, relative_absolute_error: 0.4456, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.5456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9639, kappa: 0.8758, kb_relative_information_score: 2002.5523, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9638, predictive_accuracy: 0.9643, prior_entropy: 0.6786, recall: 0.9643, relative_absolute_error: 0.1384, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9569, kappa: 0.8475, kb_relative_information_score: 1601.7344, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9602, predictive_accuracy: 0.9589, prior_entropy: 0.6786, recall: 0.9589, relative_absolute_error: 0.3805, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.9613, kappa: 0.8632, kb_relative_information_score: 1856.2751, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9646, predictive_accuracy: 0.963, prior_entropy: 0.6786, recall: 0.963, relative_absolute_error: 0.2313, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.4662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.9587, kappa: 0.8543, kb_relative_information_score: 1820.4025, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9617, predictive_accuracy: 0.9605, prior_entropy: 0.6786, recall: 0.9605, relative_absolute_error: 0.2287, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.4899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9465, kappa: 0.8087, kb_relative_information_score: 1321.9995, mean_absolute_error: 0.1454, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9522, predictive_accuracy: 0.9497, prior_entropy: 0.6786, recall: 0.9497, relative_absolute_error: 0.4942, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.5846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.9677, kappa: 0.8879, kb_relative_information_score: 1966.5206, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9683, predictive_accuracy: 0.9684, prior_entropy: 0.6786, recall: 0.9684, relative_absolute_error: 0.1562, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.4472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.9553, kappa: 0.8423, kb_relative_information_score: 1795.3729, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9579, predictive_accuracy: 0.9572, prior_entropy: 0.6786, recall: 0.9572, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.5032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9659, kappa: 0.88, kb_relative_information_score: 1765.0907, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9683, predictive_accuracy: 0.9672, prior_entropy: 0.6786, recall: 0.9672, relative_absolute_error: 0.3069, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.176, root_relative_squared_error: 0.4591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9686, kappa: 0.8902, kb_relative_information_score: 1701.0678, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9704, predictive_accuracy: 0.9697, prior_entropy: 0.6786, recall: 0.9697, relative_absolute_error: 0.3377, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.4657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.9565, kappa: 0.8461, kb_relative_information_score: 1814.2804, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9596, predictive_accuracy: 0.9585, prior_entropy: 0.6786, recall: 0.9585, relative_absolute_error: 0.2328, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.4961,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9809, kappa: 0.9337, kb_relative_information_score: 2043.5449, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9817, predictive_accuracy: 0.9813, prior_entropy: 0.6786, recall: 0.9813, relative_absolute_error: 0.1747, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.3554,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.977, kappa: 0.9198, kb_relative_information_score: 1969.7568, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9782, predictive_accuracy: 0.9776, prior_entropy: 0.6786, recall: 0.9776, relative_absolute_error: 0.2183, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.375,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9547, kappa: 0.8397, kb_relative_information_score: 1621.096, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9579, predictive_accuracy: 0.9568, prior_entropy: 0.6786, recall: 0.9568, relative_absolute_error: 0.3674, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.5029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9568, kappa: 0.8466, kb_relative_information_score: 1596.0292, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9607, predictive_accuracy: 0.9589, prior_entropy: 0.6786, recall: 0.9589, relative_absolute_error: 0.3906, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.196, root_relative_squared_error: 0.5112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9627, kappa: 0.8718, kb_relative_information_score: 2001.851, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9625, predictive_accuracy: 0.963, prior_entropy: 0.6786, recall: 0.963, relative_absolute_error: 0.139, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.4444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9778, kappa: 0.9229, kb_relative_information_score: 1977.1061, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.979, predictive_accuracy: 0.9784, prior_entropy: 0.6786, recall: 0.9784, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.3761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9783, kappa: 0.9246, kb_relative_information_score: 1978.3592, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9793, predictive_accuracy: 0.9788, prior_entropy: 0.6786, recall: 0.9788, relative_absolute_error: 0.2047, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1436, root_relative_squared_error: 0.3745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.947, kappa: 0.8105, kb_relative_information_score: 1436.4833, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9526, predictive_accuracy: 0.9501, prior_entropy: 0.6786, recall: 0.9501, relative_absolute_error: 0.4509, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.5547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9622, kappa: 0.8665, kb_relative_information_score: 1856.6657, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9654, predictive_accuracy: 0.9639, prior_entropy: 0.6786, recall: 0.9639, relative_absolute_error: 0.234, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.462,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9658, kappa: 0.8797, kb_relative_information_score: 1856.8201, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9684, predictive_accuracy: 0.9672, prior_entropy: 0.6786, recall: 0.9672, relative_absolute_error: 0.2637, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.4412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9591, kappa: 0.8554, kb_relative_information_score: 1592.4868, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9624, predictive_accuracy: 0.9609, prior_entropy: 0.6786, recall: 0.9609, relative_absolute_error: 0.3824, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.5084,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.98, kappa: 0.9306, kb_relative_information_score: 2030.334, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9809, predictive_accuracy: 0.9805, prior_entropy: 0.6786, recall: 0.9805, relative_absolute_error: 0.1844, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1364, root_relative_squared_error: 0.3557,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9778, kappa: 0.9229, kb_relative_information_score: 2016.6912, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.979, predictive_accuracy: 0.9784, prior_entropy: 0.6786, recall: 0.9784, relative_absolute_error: 0.1902, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.3644,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9591, kappa: 0.8554, kb_relative_information_score: 1551.404, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9624, predictive_accuracy: 0.9609, prior_entropy: 0.6786, recall: 0.9609, relative_absolute_error: 0.4012, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.5124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.954, kappa: 0.8367, kb_relative_information_score: 1529.5096, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9582, predictive_accuracy: 0.9564, prior_entropy: 0.6786, recall: 0.9564, relative_absolute_error: 0.416, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.5303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9642, kappa: 0.8741, kb_relative_information_score: 1863.7998, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9664, predictive_accuracy: 0.9655, prior_entropy: 0.6786, recall: 0.9655, relative_absolute_error: 0.231, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.4543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9796, kappa: 0.9291, kb_relative_information_score: 2038.5789, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9805, predictive_accuracy: 0.9801, prior_entropy: 0.6786, recall: 0.9801, relative_absolute_error: 0.1771, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1364, root_relative_squared_error: 0.3557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9559, kappa: 0.8435, kb_relative_information_score: 1565.9589, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9597, predictive_accuracy: 0.958, prior_entropy: 0.6786, recall: 0.958, relative_absolute_error: 0.3963, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.5206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9563, kappa: 0.8449, kb_relative_information_score: 1610.5479, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9603, predictive_accuracy: 0.9585, prior_entropy: 0.6786, recall: 0.9585, relative_absolute_error: 0.3811, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.964, kappa: 0.8732, kb_relative_information_score: 1718.2739, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9669, predictive_accuracy: 0.9655, prior_entropy: 0.6786, recall: 0.9655, relative_absolute_error: 0.3382, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.4727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9783, kappa: 0.9244, kb_relative_information_score: 1962.8717, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9793, predictive_accuracy: 0.9788, prior_entropy: 0.6786, recall: 0.9788, relative_absolute_error: 0.217, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.145, root_relative_squared_error: 0.3783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9765, kappa: 0.9182, kb_relative_information_score: 1919.0207, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9778, predictive_accuracy: 0.9771, prior_entropy: 0.6786, recall: 0.9771, relative_absolute_error: 0.2414, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.151, root_relative_squared_error: 0.3939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9744, kappa: 0.9107, kb_relative_information_score: 1843.5109, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9756, predictive_accuracy: 0.9751, prior_entropy: 0.6786, recall: 0.9751, relative_absolute_error: 0.269, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.16, root_relative_squared_error: 0.4174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9605, kappa: 0.8604, kb_relative_information_score: 1705.8728, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9635, predictive_accuracy: 0.9622, prior_entropy: 0.6786, recall: 0.9622, relative_absolute_error: 0.3365, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.4765,

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