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OpenML
OpenML
Supervised Classification on iris

Supervised Classification on iris

Task 59 Supervised Classification iris 4443 runs submitted
0 likes downloaded by 31 people , 58 total downloads 0 issues
Visibility: Public
  • basic study_1 study_41 study_50 study_7 study_89 testsuite under100k under1m
Issue #Downvotes for this reason By


Metric:

4443 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 137.6454, mean_absolute_error: 0.0482, 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: 0.1085, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.13, root_relative_squared_error: 0.2757, scimark_benchmark: 1371.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 136.2082, mean_absolute_error: 0.0532, 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: 0.1198, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.29, scimark_benchmark: 1371.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 136.4928, mean_absolute_error: 0.0514, 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: 0.1157, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.138, root_relative_squared_error: 0.2928, scimark_benchmark: 1371.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 134.29, mean_absolute_error: 0.0614, 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: 0.1381, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1391, root_relative_squared_error: 0.295, scimark_benchmark: 1371.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 134.8051, mean_absolute_error: 0.06, 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: 0.1349, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.2835, scimark_benchmark: 1371.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 134.6843, mean_absolute_error: 0.0597, 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: 0.1343, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.288, scimark_benchmark: 1371.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9535, kappa: 0.93, kb_relative_information_score: 133.6608, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.954, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1405, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.3122, scimark_benchmark: 1371.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 135.1428, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9733, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1318, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1337, root_relative_squared_error: 0.2835, scimark_benchmark: 1371.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.5556, kappa: 0.5, kb_relative_information_score: 85.9355, mean_absolute_error: 0.2255, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.5, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.5073, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.7089, scimark_benchmark: 1371.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.6528, kappa: 0.5, kb_relative_information_score: 86.5636, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.503, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.7078, scimark_benchmark: 1371.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.6032, kappa: 0.5, kb_relative_information_score: 86.324, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.7082, scimark_benchmark: 1371.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.6633, kappa: 0.5, kb_relative_information_score: 86.5124, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.5034, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.7077, scimark_benchmark: 1371.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.6633, kappa: 0.5, kb_relative_information_score: 86.307, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.5049, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.7079, scimark_benchmark: 1371.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 137.7288, mean_absolute_error: 0.0481, 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: 0.1082, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.2664, scimark_benchmark: 1371.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 137.7576, mean_absolute_error: 0.048, 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: 0.1079, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.2643, scimark_benchmark: 1371.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 137.8911, mean_absolute_error: 0.0475, 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: 0.1069, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1235, root_relative_squared_error: 0.262, scimark_benchmark: 1371.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 138.1225, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9672, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1025, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2741, scimark_benchmark: 1371.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 137.631, mean_absolute_error: 0.049, 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: 0.1102, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.2613, scimark_benchmark: 1371.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 136.7301, mean_absolute_error: 0.0496, 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: 0.1117, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1377, root_relative_squared_error: 0.2921, scimark_benchmark: 1371.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 136.9683, mean_absolute_error: 0.0487, 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: 0.1096, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1346, root_relative_squared_error: 0.2854, scimark_benchmark: 1371.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 137.5597, mean_absolute_error: 0.0472, 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: 0.1062, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.2762, scimark_benchmark: 1371.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 138.2236, mean_absolute_error: 0.0446, 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: 0.1004, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.127, root_relative_squared_error: 0.2695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 137.8842, mean_absolute_error: 0.0458, 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: 0.103, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1282, root_relative_squared_error: 0.272, scimark_benchmark: 1371.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.1812, mean_absolute_error: 0.0402, 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: 0.0904, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1306, root_relative_squared_error: 0.277, scimark_benchmark: 1371.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 139.2425, mean_absolute_error: 0.0395, 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: 0.0889, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1283, root_relative_squared_error: 0.2722, scimark_benchmark: 1371.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 138.5481, mean_absolute_error: 0.0427, 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: 0.096, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1319, root_relative_squared_error: 0.2798, scimark_benchmark: 1371.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.6744, mean_absolute_error: 0.0382, 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: 0.086, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1221, root_relative_squared_error: 0.2589, scimark_benchmark: 1371.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 137.5858, mean_absolute_error: 0.0453, 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: 0.102, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.3114, scimark_benchmark: 1371.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 133.1587, mean_absolute_error: 0.0649, 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: 0.146, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.3148, scimark_benchmark: 1371.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 133.5971, mean_absolute_error: 0.0647, 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: 0.1455, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.3036, scimark_benchmark: 1371.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 134.4437, mean_absolute_error: 0.0618, 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: 0.139, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1359, root_relative_squared_error: 0.2883, scimark_benchmark: 1371.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 135.2411, mean_absolute_error: 0.0585, 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: 0.1315, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1329, root_relative_squared_error: 0.2819, scimark_benchmark: 1371.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 134.6548, mean_absolute_error: 0.0608, 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: 0.1368, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1349, root_relative_squared_error: 0.2862, scimark_benchmark: 1371.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 137.5862, mean_absolute_error: 0.0473, 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: 0.1065, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.2777, scimark_benchmark: 1371.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 136.777, mean_absolute_error: 0.0506, 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: 0.1138, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.2916, scimark_benchmark: 1371.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 137.569, mean_absolute_error: 0.0473, 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: 0.1064, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.2833, scimark_benchmark: 1371.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 136.9829, mean_absolute_error: 0.0488, 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: 0.1098, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.2937, scimark_benchmark: 1371.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 136.7914, mean_absolute_error: 0.0501, 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: 0.1128, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.14, root_relative_squared_error: 0.297, scimark_benchmark: 1371.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 137.7576, mean_absolute_error: 0.048, 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: 0.1079, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.2643, scimark_benchmark: 1415.1324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 137.8911, mean_absolute_error: 0.0475, 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: 0.1069, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1235, root_relative_squared_error: 0.262, scimark_benchmark: 1415.1324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 138.1225, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9672, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1025, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2741, scimark_benchmark: 1415.1324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 137.631, mean_absolute_error: 0.049, 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: 0.1102, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.2613, scimark_benchmark: 1415.1324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 136.7301, mean_absolute_error: 0.0496, 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: 0.1117, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1377, root_relative_squared_error: 0.2921, scimark_benchmark: 1415.1324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 136.9683, mean_absolute_error: 0.0487, 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: 0.1096, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1346, root_relative_squared_error: 0.2854, scimark_benchmark: 1415.1324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 137.5597, mean_absolute_error: 0.0472, 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: 0.1062, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.2762, scimark_benchmark: 1415.1324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 138.2236, mean_absolute_error: 0.0446, 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: 0.1004, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.127, root_relative_squared_error: 0.2695, scimark_benchmark: 1415.1324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 137.8842, mean_absolute_error: 0.0458, 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: 0.103, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1282, root_relative_squared_error: 0.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.1812, mean_absolute_error: 0.0402, 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: 0.0904, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1306, root_relative_squared_error: 0.277, scimark_benchmark: 1415.1324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 139.2425, mean_absolute_error: 0.0395, 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: 0.0889, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1283, root_relative_squared_error: 0.2722, scimark_benchmark: 1415.1324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 138.5481, mean_absolute_error: 0.0427, 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: 0.096, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1319, root_relative_squared_error: 0.2798, scimark_benchmark: 1415.1324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.6744, mean_absolute_error: 0.0382, 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: 0.086, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1221, root_relative_squared_error: 0.2589, scimark_benchmark: 1415.1324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 137.5858, mean_absolute_error: 0.0453, 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: 0.102, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.3114, scimark_benchmark: 1415.1324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 133.1587, mean_absolute_error: 0.0649, 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: 0.146, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.3148, scimark_benchmark: 1415.1324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 133.5971, mean_absolute_error: 0.0647, 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: 0.1455, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.3036, scimark_benchmark: 1415.1324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 134.4437, mean_absolute_error: 0.0618, 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: 0.139, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1359, root_relative_squared_error: 0.2883, scimark_benchmark: 1415.1324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 135.2411, mean_absolute_error: 0.0585, 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: 0.1315, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1329, root_relative_squared_error: 0.2819, scimark_benchmark: 1415.1324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 134.6548, mean_absolute_error: 0.0608, 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: 0.1368, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1349, root_relative_squared_error: 0.2862, scimark_benchmark: 1415.1324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 137.5862, mean_absolute_error: 0.0473, 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: 0.1065, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.2777, scimark_benchmark: 1415.1324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 136.777, mean_absolute_error: 0.0506, 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: 0.1138, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.2916, scimark_benchmark: 1415.1324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 137.569, mean_absolute_error: 0.0473, 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: 0.1064, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.2833, scimark_benchmark: 1415.1324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 136.9829, mean_absolute_error: 0.0488, 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: 0.1098, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.2937, scimark_benchmark: 1415.1324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 136.7914, mean_absolute_error: 0.0501, 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: 0.1128, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.14, root_relative_squared_error: 0.297, scimark_benchmark: 1415.1324,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 134.9792, mean_absolute_error: 0.0592, 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: 0.1331, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.319, scimark_benchmark: 1848.5227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.552, kappa: 0.5, kb_relative_information_score: 81.5465, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.4906, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.5, 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: 0.983, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 135.6818, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1171, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.3378, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 139.1249, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.0823, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.3349, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 136.7135, mean_absolute_error: 0.0471, 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: 0.1059, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.345, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 138.6654, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.0863, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.3391, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 136.6765, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1035, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.3714, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 138.6654, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.0863, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.3391, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 135.2381, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.119, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.3598, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 137.4091, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.0989, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.162, root_relative_squared_error: 0.3436, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9333, kappa: 0.9, kb_relative_information_score: 138.0315, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9333, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.0935, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.3386, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 139.0474, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.4, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 139.0474, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.4, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 139.0473, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.4, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 138.3461, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.0856, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.4065, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 139.1619, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.0789, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.3862, scimark_benchmark: 1273.5018,
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, scimark_benchmark: 1273.5018,
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, scimark_benchmark: 1273.5018,
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, scimark_benchmark: 1273.5018,
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, scimark_benchmark: 1273.5018,
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, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 143.2173, mean_absolute_error: 0.0235, 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: 0.0528, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1223, root_relative_squared_error: 0.2595, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 143.3151, mean_absolute_error: 0.0229, 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: 0.0515, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.2705, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 142.8991, mean_absolute_error: 0.0242, 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: 0.0544, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.2881, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 142.9015, mean_absolute_error: 0.0242, 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: 0.0544, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.288, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 142.9015, mean_absolute_error: 0.0242, 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: 0.0544, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.288, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.934, mean_absolute_error: 0.026, 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: 0.0586, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1555, root_relative_squared_error: 0.3299, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.934, mean_absolute_error: 0.026, 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: 0.0586, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1555, root_relative_squared_error: 0.3299, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.934, mean_absolute_error: 0.026, 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: 0.0586, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1555, root_relative_squared_error: 0.3299, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.934, mean_absolute_error: 0.026, 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: 0.0586, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1555, root_relative_squared_error: 0.3299, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.9098, mean_absolute_error: 0.0262, 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: 0.0589, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.3314, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.69, mean_absolute_error: 0.0344, 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: 0.0773, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.3633, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 140.6255, mean_absolute_error: 0.0314, 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: 0.0707, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.3397, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.69, mean_absolute_error: 0.0344, 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: 0.0773, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.3633, scimark_benchmark: 1273.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.69, mean_absolute_error: 0.0344, 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: 0.0773, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.3633, scimark_benchmark: 1273.5018,

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