Task
Supervised Classification on iris

Supervised Classification on iris

Task 1939 Supervised Classification iris 394 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9693, kappa: 0.954, kb_relative_information_score: 1399.4982, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9695, predictive_accuracy: 0.9693, prior_entropy: 1.585, recall: 0.9693, relative_absolute_error: 0.0849, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.126, root_relative_squared_error: 0.2674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9753, kappa: 0.963, kb_relative_information_score: 1447.4119, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9754, predictive_accuracy: 0.9753, prior_entropy: 1.585, recall: 0.9753, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1249, root_relative_squared_error: 0.2649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.974, kappa: 0.961, kb_relative_information_score: 1424.653, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.974, predictive_accuracy: 0.974, prior_entropy: 1.585, recall: 0.974, relative_absolute_error: 0.0591, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1278, root_relative_squared_error: 0.2712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.97, kappa: 0.955, kb_relative_information_score: 1397.9693, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9701, predictive_accuracy: 0.97, prior_entropy: 1.585, recall: 0.97, relative_absolute_error: 0.0846, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1324, root_relative_squared_error: 0.2809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9767, kappa: 0.965, kb_relative_information_score: 1380.9019, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9767, predictive_accuracy: 0.9767, prior_entropy: 1.585, recall: 0.9767, relative_absolute_error: 0.1038, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1315, root_relative_squared_error: 0.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.954, kappa: 0.931, kb_relative_information_score: 1399.3809, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.955, predictive_accuracy: 0.954, prior_entropy: 1.585, recall: 0.954, relative_absolute_error: 0.0773, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.3212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9753, kappa: 0.963, kb_relative_information_score: 1368.8128, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9755, predictive_accuracy: 0.9753, prior_entropy: 1.585, recall: 0.9753, relative_absolute_error: 0.1153, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1346, root_relative_squared_error: 0.2855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9753, kappa: 0.963, kb_relative_information_score: 1379.653, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9757, predictive_accuracy: 0.9753, prior_entropy: 1.585, recall: 0.9753, relative_absolute_error: 0.1054, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1304, root_relative_squared_error: 0.2766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.964, kappa: 0.946, kb_relative_information_score: 1411.0193, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.964, predictive_accuracy: 0.964, prior_entropy: 1.585, recall: 0.964, relative_absolute_error: 0.0718, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1346, root_relative_squared_error: 0.2856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9459, kappa: 0.919, kb_relative_information_score: 1389.7696, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9469, predictive_accuracy: 0.946, prior_entropy: 1.585, recall: 0.946, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1542, root_relative_squared_error: 0.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.962, kappa: 0.943, kb_relative_information_score: 1416.6552, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9624, predictive_accuracy: 0.962, prior_entropy: 1.585, recall: 0.962, relative_absolute_error: 0.0621, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.154, root_relative_squared_error: 0.3267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9727, kappa: 0.959, kb_relative_information_score: 1421.4342, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9727, predictive_accuracy: 0.9727, prior_entropy: 1.585, recall: 0.9727, relative_absolute_error: 0.0634, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.124, root_relative_squared_error: 0.2631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.97, kappa: 0.955, kb_relative_information_score: 1406.4008, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9704, predictive_accuracy: 0.97, prior_entropy: 1.585, recall: 0.97, relative_absolute_error: 0.0773, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1258, root_relative_squared_error: 0.2669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9767, kappa: 0.965, kb_relative_information_score: 1368.7953, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9769, predictive_accuracy: 0.9767, prior_entropy: 1.585, recall: 0.9767, relative_absolute_error: 0.1156, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1349, root_relative_squared_error: 0.2861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.968, kappa: 0.952, kb_relative_information_score: 1417.7891, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9681, predictive_accuracy: 0.968, prior_entropy: 1.585, recall: 0.968, relative_absolute_error: 0.0661, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1269, root_relative_squared_error: 0.2692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9653, kappa: 0.948, kb_relative_information_score: 1424.1514, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9655, predictive_accuracy: 0.9653, prior_entropy: 1.585, recall: 0.9653, relative_absolute_error: 0.0567, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1503, root_relative_squared_error: 0.3188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9773, kappa: 0.966, kb_relative_information_score: 1369.6794, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9774, predictive_accuracy: 0.9773, prior_entropy: 1.585, recall: 0.9773, relative_absolute_error: 0.1157, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1321, root_relative_squared_error: 0.2803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9747, kappa: 0.962, kb_relative_information_score: 1447.1352, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9748, predictive_accuracy: 0.9747, prior_entropy: 1.585, recall: 0.9747, relative_absolute_error: 0.0394, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1212, root_relative_squared_error: 0.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9747, kappa: 0.962, kb_relative_information_score: 1388.385, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9748, predictive_accuracy: 0.9747, prior_entropy: 1.585, recall: 0.9747, relative_absolute_error: 0.0961, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.2844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.974, kappa: 0.961, kb_relative_information_score: 1395.3746, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9744, predictive_accuracy: 0.974, prior_entropy: 1.585, recall: 0.974, relative_absolute_error: 0.0891, 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: 0.9931, f_measure: 0.9693, kappa: 0.954, kb_relative_information_score: 1397.6327, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9696, predictive_accuracy: 0.9693, prior_entropy: 1.585, recall: 0.9693, relative_absolute_error: 0.084, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1364, root_relative_squared_error: 0.2893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.974, kappa: 0.961, kb_relative_information_score: 1444.9747, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.974, predictive_accuracy: 0.974, prior_entropy: 1.585, recall: 0.974, relative_absolute_error: 0.0407, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.126, root_relative_squared_error: 0.2674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.974, kappa: 0.961, kb_relative_information_score: 1386.5969, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9744, predictive_accuracy: 0.974, prior_entropy: 1.585, recall: 0.974, relative_absolute_error: 0.0976, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.2814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9747, kappa: 0.962, kb_relative_information_score: 1386.4663, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9751, predictive_accuracy: 0.9747, prior_entropy: 1.585, recall: 0.9747, relative_absolute_error: 0.0984, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.2763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.966, kappa: 0.949, kb_relative_information_score: 1415.466, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9661, predictive_accuracy: 0.966, prior_entropy: 1.585, recall: 0.966, relative_absolute_error: 0.0654, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1348, root_relative_squared_error: 0.2859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.978, kappa: 0.967, kb_relative_information_score: 1392.4226, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9782, predictive_accuracy: 0.978, prior_entropy: 1.585, recall: 0.978, relative_absolute_error: 0.0932, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1257, root_relative_squared_error: 0.2667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9673, kappa: 0.951, kb_relative_information_score: 1423.3029, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9674, predictive_accuracy: 0.9673, prior_entropy: 1.585, recall: 0.9673, relative_absolute_error: 0.0603, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.2661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9727, kappa: 0.959, kb_relative_information_score: 1440.7501, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9728, predictive_accuracy: 0.9727, prior_entropy: 1.585, recall: 0.9727, relative_absolute_error: 0.0439, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.974, kappa: 0.961, kb_relative_information_score: 1383.7859, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9744, predictive_accuracy: 0.974, prior_entropy: 1.585, recall: 0.974, relative_absolute_error: 0.1012, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1296, root_relative_squared_error: 0.2749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.974, kappa: 0.961, kb_relative_information_score: 1445.3557, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9741, predictive_accuracy: 0.974, prior_entropy: 1.585, recall: 0.974, relative_absolute_error: 0.0407, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.2636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.964, kappa: 0.946, kb_relative_information_score: 1407.6894, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.964, predictive_accuracy: 0.964, prior_entropy: 1.585, recall: 0.964, relative_absolute_error: 0.0756, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1258, root_relative_squared_error: 0.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.972, kappa: 0.958, kb_relative_information_score: 1388.6087, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9721, predictive_accuracy: 0.972, prior_entropy: 1.585, recall: 0.972, relative_absolute_error: 0.0943, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.133, root_relative_squared_error: 0.2822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9473, kappa: 0.921, kb_relative_information_score: 1385.7068, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9478, predictive_accuracy: 0.9473, prior_entropy: 1.585, recall: 0.9473, relative_absolute_error: 0.0877, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9773, kappa: 0.966, kb_relative_information_score: 1378.8222, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9776, predictive_accuracy: 0.9773, prior_entropy: 1.585, recall: 0.9773, relative_absolute_error: 0.1064, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.2761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9687, kappa: 0.953, kb_relative_information_score: 1416.7363, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9688, predictive_accuracy: 0.9687, prior_entropy: 1.585, recall: 0.9687, relative_absolute_error: 0.0669, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1279, root_relative_squared_error: 0.2713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9793, kappa: 0.969, kb_relative_information_score: 1354.0822, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9793, predictive_accuracy: 0.9793, prior_entropy: 1.585, recall: 0.9793, relative_absolute_error: 0.1287, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.3008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9419, kappa: 0.913, kb_relative_information_score: 1380.0622, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9431, predictive_accuracy: 0.942, prior_entropy: 1.585, recall: 0.942, relative_absolute_error: 0.0911, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.3342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 1429.6189, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9669, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.0522, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.3001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.978, kappa: 0.967, kb_relative_information_score: 1376.0736, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9782, predictive_accuracy: 0.978, prior_entropy: 1.585, recall: 0.978, relative_absolute_error: 0.1091, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1312, root_relative_squared_error: 0.2782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 1442.7087, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9734, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.0425, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1268, root_relative_squared_error: 0.2689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9371, kappa: 0.906, kb_relative_information_score: 1371.7211, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.938, predictive_accuracy: 0.9373, prior_entropy: 1.585, recall: 0.9373, relative_absolute_error: 0.0974, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.3424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9787, kappa: 0.968, kb_relative_information_score: 1420.8048, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9787, predictive_accuracy: 0.9787, prior_entropy: 1.585, recall: 0.9787, relative_absolute_error: 0.0654, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1205, root_relative_squared_error: 0.2556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9673, kappa: 0.951, kb_relative_information_score: 1428.9575, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9674, predictive_accuracy: 0.9673, prior_entropy: 1.585, recall: 0.9673, relative_absolute_error: 0.0528, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.958, kappa: 0.937, kb_relative_information_score: 1410.2858, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9585, predictive_accuracy: 0.958, prior_entropy: 1.585, recall: 0.958, relative_absolute_error: 0.067, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.3392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9687, kappa: 0.953, kb_relative_information_score: 1392.3917, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9688, predictive_accuracy: 0.9687, prior_entropy: 1.585, recall: 0.9687, relative_absolute_error: 0.0904, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.2791,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 1404.0789, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.0795, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.127, root_relative_squared_error: 0.2695,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9313, kappa: 0.897, kb_relative_information_score: 1367.2444, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9313, predictive_accuracy: 0.9313, prior_entropy: 1.585, recall: 0.9313, relative_absolute_error: 0.0978, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.3785, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.926, kappa: 0.889, kb_relative_information_score: 1362.5566, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.926, predictive_accuracy: 0.926, prior_entropy: 1.585, recall: 0.926, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3669, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.926, kappa: 0.889, kb_relative_information_score: 1362.5566, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.926, predictive_accuracy: 0.926, prior_entropy: 1.585, recall: 0.926, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3669, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9393, kappa: 0.909, kb_relative_information_score: 1349.3986, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9393, predictive_accuracy: 0.9393, prior_entropy: 1.585, recall: 0.9393, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.3717, scimark_benchmark: 936.3373, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.926, kappa: 0.889, kb_relative_information_score: 1362.5566, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.926, predictive_accuracy: 0.926, prior_entropy: 1.585, recall: 0.926, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3669, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.926, kappa: 0.889, kb_relative_information_score: 1362.5566, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.926, predictive_accuracy: 0.926, prior_entropy: 1.585, recall: 0.926, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3669, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.926, kappa: 0.889, kb_relative_information_score: 1362.5566, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.926, predictive_accuracy: 0.926, prior_entropy: 1.585, recall: 0.926, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3669, scimark_benchmark: 930.404,

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