Task
Supervised Classification on iris

Supervised Classification on iris

Task 59 Supervised Classification iris 4443 runs submitted
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  • basic study_1 study_41 study_50 study_7 study_89 testsuite under100k under1m
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4443 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, build_cpu_time: 0.0001, build_memory: 87232916.8, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 132.787, mean_absolute_error: 0.0666, 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: 0.1497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1487, root_relative_squared_error: 0.3155, scimark_benchmark: 1701.2831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, build_memory: 65902975.2, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 135.9958, mean_absolute_error: 0.0514, 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: 0.1155, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1433, root_relative_squared_error: 0.3039, scimark_benchmark: 1701.2831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, build_cpu_time: 0.0001, build_memory: 113577891.2, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 139.0848, mean_absolute_error: 0.036, 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: 0.081, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.3441, scimark_benchmark: 1701.2831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, build_memory: 257065454.4, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 137.8837, mean_absolute_error: 0.0416, 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: 0.0936, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.149, root_relative_squared_error: 0.3161, scimark_benchmark: 1701.2831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, build_cpu_time: 0.0001, build_memory: 238517815.2, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 137.9541, mean_absolute_error: 0.0455, 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: 0.1023, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1319, root_relative_squared_error: 0.2798, scimark_benchmark: 1701.2831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, build_memory: 224726678.4, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 138.4153, mean_absolute_error: 0.0435, 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: 0.0979, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.2762, scimark_benchmark: 1701.2831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, build_cpu_time: 0.0001, build_memory: 211052638.4, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 138.4413, mean_absolute_error: 0.0428, 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: 0.0962, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.2793, scimark_benchmark: 1701.2831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, build_memory: 197275892, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 138.8215, mean_absolute_error: 0.0413, 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: 0.093, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.2725, scimark_benchmark: 1701.2831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, build_cpu_time: 0.0001, build_memory: 183725318.4, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 138.9354, mean_absolute_error: 0.041, 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: 0.0922, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1273, root_relative_squared_error: 0.2701, scimark_benchmark: 1701.2831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, build_cpu_time: 0.0002, build_memory: 170066894.4, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.3544, mean_absolute_error: 0.0397, 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: 0.0893, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.125, root_relative_squared_error: 0.2652, scimark_benchmark: 1701.2831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 139.6854, mean_absolute_error: 0.038, 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: 0.0856, 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: 0.9971, build_memory: 142782605.6, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 139.5847, mean_absolute_error: 0.0378, 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: 0.085, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1282, root_relative_squared_error: 0.272, scimark_benchmark: 1701.2831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, build_cpu_time: 0.0001, build_memory: 129218329.6, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.3251, mean_absolute_error: 0.0382, 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: 0.086, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.136, root_relative_squared_error: 0.2885, scimark_benchmark: 1701.2831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, build_memory: 115635186.4, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 139.1143, mean_absolute_error: 0.0378, 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: 0.0851, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.308, scimark_benchmark: 1701.2831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, build_memory: 102077357.6, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 139.4263, mean_absolute_error: 0.0356, 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: 0.0801, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1536, root_relative_squared_error: 0.3259, scimark_benchmark: 1701.2831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, build_cpu_time: 0.0001, build_memory: 88597751.2, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 139.0774, mean_absolute_error: 0.0378, 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: 0.085, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.166, root_relative_squared_error: 0.3522, scimark_benchmark: 1701.2831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, build_cpu_time: 0.0002, build_memory: 74402607.2, 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: 1701.2831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7575, build_cpu_time: 0.0132, build_memory: 345548579.2, f_measure: 0.5591, kappa: 0.34, kb_relative_information_score: 46.7837, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.5677, predictive_accuracy: 0.56, prior_entropy: 1.585, recall: 0.56, relative_absolute_error: 0.7667, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8932, scimark_benchmark: 1571.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, build_cpu_time: 0.0103, build_memory: 264134873.6, f_measure: 0.8116, kappa: 0.71, kb_relative_information_score: 72.1281, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8359, predictive_accuracy: 0.8067, prior_entropy: 1.585, recall: 0.8067, relative_absolute_error: 0.63, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7674, scimark_benchmark: 1571.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, build_cpu_time: 0.0138, build_memory: 271424124, f_measure: 0.934, kappa: 0.9, kb_relative_information_score: 87.5921, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9379, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.54, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.6429, scimark_benchmark: 1571.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, build_cpu_time: 0.0143, build_memory: 279737833.6, f_measure: 0.9274, kappa: 0.89, kb_relative_information_score: 86.9612, mean_absolute_error: 0.2415, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9326, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.5433, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3055, root_relative_squared_error: 0.6481, scimark_benchmark: 1571.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, build_cpu_time: 0.014, build_memory: 269535022.4, f_measure: 0.9274, kappa: 0.89, kb_relative_information_score: 86.9612, mean_absolute_error: 0.2415, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9326, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.5433, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3055, root_relative_squared_error: 0.6481, scimark_benchmark: 1571.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, build_cpu_time: 0.0103, build_memory: 294803076.8, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 90.223, mean_absolute_error: 0.2326, 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: 0.5233, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.6164, scimark_benchmark: 1571.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, build_cpu_time: 0.0097, build_memory: 255000502.4, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 91.4849, mean_absolute_error: 0.2296, 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: 0.5167, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.6055, scimark_benchmark: 1571.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, build_cpu_time: 0.0099, build_memory: 217387011.2, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 90.8539, mean_absolute_error: 0.2311, 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: 0.52, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.288, root_relative_squared_error: 0.611, scimark_benchmark: 1571.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, build_cpu_time: 0.0105, build_memory: 238548096, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 90.8539, mean_absolute_error: 0.2311, 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: 0.52, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.288, root_relative_squared_error: 0.611, scimark_benchmark: 1571.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, build_cpu_time: 0.0121, build_memory: 234647256.8, f_measure: 0.7737, kappa: 0.67, kb_relative_information_score: 69.557, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.7934, predictive_accuracy: 0.78, prior_entropy: 1.585, recall: 0.78, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3576, root_relative_squared_error: 0.7587, scimark_benchmark: 1571.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, build_cpu_time: 0.0127, build_memory: 248694131.2, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 86.4374, mean_absolute_error: 0.2415, 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: 0.5433, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.6394, scimark_benchmark: 1571.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 89.5921, mean_absolute_error: 0.2341, 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: 0.5267, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.6218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, build_cpu_time: 0.0093, build_memory: 249814824.8, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 92.1158, mean_absolute_error: 0.2281, 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: 0.5133, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.6, scimark_benchmark: 1571.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, build_cpu_time: 0.0122, build_memory: 276331537.6, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 90.8539, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9619, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.52, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.288, root_relative_squared_error: 0.611, scimark_benchmark: 1571.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, build_cpu_time: 0.0083, build_memory: 290084308.8, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 90.8539, mean_absolute_error: 0.2311, 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: 0.52, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.288, root_relative_squared_error: 0.611, scimark_benchmark: 1571.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, build_cpu_time: 0.0077, build_memory: 294634404, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 90.8539, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9619, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.52, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.288, root_relative_squared_error: 0.611, scimark_benchmark: 1571.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 92.1158, mean_absolute_error: 0.2281, 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: 0.5133, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 90.223, mean_absolute_error: 0.2326, 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: 0.5233, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.6164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, build_cpu_time: 0.014, build_memory: 195053839.2, f_measure: 0.8999, kappa: 0.85, kb_relative_information_score: 85.1756, mean_absolute_error: 0.2444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9008, predictive_accuracy: 0.9, prior_entropy: 1.585, recall: 0.9, relative_absolute_error: 0.55, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6583, scimark_benchmark: 1571.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, build_cpu_time: 0.0203, build_memory: 190710635.2, f_measure: 0.9266, kappa: 0.89, kb_relative_information_score: 87.6993, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9276, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.5367, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.6377, scimark_benchmark: 1571.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.9266, kappa: 0.89, kb_relative_information_score: 87.6993, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9276, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.5367, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.6377,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, build_cpu_time: 0.0115, build_memory: 272351928.8, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 91.4849, mean_absolute_error: 0.2296, 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: 0.5167, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.6055, scimark_benchmark: 1682.0994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, build_cpu_time: 0.0094, build_memory: 286354170.4, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 90.8539, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9619, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.52, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.288, root_relative_squared_error: 0.611, scimark_benchmark: 1682.0994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, build_cpu_time: 0.0086, build_memory: 331561858.4, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 92.1158, mean_absolute_error: 0.2281, 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: 0.5133, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.6, scimark_benchmark: 1682.0994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, build_cpu_time: 0.0129, build_memory: 349101491.2, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 90.223, mean_absolute_error: 0.2326, 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: 0.5233, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.6164, scimark_benchmark: 1682.0994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, build_cpu_time: 0.0109, build_memory: 289366784.8, f_measure: 0.9085, kappa: 0.86, kb_relative_information_score: 84.6993, mean_absolute_error: 0.2474, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9185, predictive_accuracy: 0.9067, prior_entropy: 1.585, recall: 0.9067, relative_absolute_error: 0.5567, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6683, scimark_benchmark: 1682.0994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, build_cpu_time: 0.0114, build_memory: 285714793.6, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 90.8539, mean_absolute_error: 0.2311, 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: 0.52, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.288, root_relative_squared_error: 0.611, scimark_benchmark: 1682.0994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, build_cpu_time: 0.0118, build_memory: 255763800.8, f_measure: 0.9213, kappa: 0.88, kb_relative_information_score: 86.3302, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.928, predictive_accuracy: 0.92, prior_entropy: 1.585, recall: 0.92, relative_absolute_error: 0.5467, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.6532, scimark_benchmark: 1682.0994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 90.8539, mean_absolute_error: 0.2311, 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: 0.52, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.288, root_relative_squared_error: 0.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, build_cpu_time: 0.0123, build_memory: 301928736.8, f_measure: 0.9471, kappa: 0.92, kb_relative_information_score: 88.8539, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9491, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.6325, scimark_benchmark: 1682.0994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, build_cpu_time: 0.0106, build_memory: 225248936.8, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 90.223, mean_absolute_error: 0.2326, 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: 0.5233, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.6164, scimark_benchmark: 1682.0994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, build_cpu_time: 0.0119, build_memory: 268423204, f_measure: 0.9537, kappa: 0.93, kb_relative_information_score: 89.8539, mean_absolute_error: 0.2341, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9549, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.5267, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.6218, scimark_benchmark: 1682.0994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, build_cpu_time: 0.0104, build_memory: 228592908.8, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 90.223, mean_absolute_error: 0.2326, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.5233, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.6164, scimark_benchmark: 1682.0994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, build_cpu_time: 0.0131, build_memory: 213291538.4, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 89.5921, mean_absolute_error: 0.2341, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9471, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.5267, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.6218, scimark_benchmark: 1682.0994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, build_cpu_time: 0.0116, build_memory: 243093451.2, f_measure: 0.9333, kappa: 0.9, kb_relative_information_score: 88.3302, mean_absolute_error: 0.237, 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: 0.5333, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.6325, scimark_benchmark: 1682.0994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, build_cpu_time: 0.013, build_memory: 227860552, f_measure: 0.8779, kappa: 0.82, kb_relative_information_score: 83.2828, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.882, predictive_accuracy: 0.88, prior_entropy: 1.585, recall: 0.88, relative_absolute_error: 0.56, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.67, scimark_benchmark: 1682.0994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, build_cpu_time: 0.0143, build_memory: 270460816, f_measure: 0.9133, kappa: 0.87, kb_relative_information_score: 86.4374, mean_absolute_error: 0.2415, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9142, predictive_accuracy: 0.9133, prior_entropy: 1.585, recall: 0.9133, relative_absolute_error: 0.5433, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3055, root_relative_squared_error: 0.6481, scimark_benchmark: 1682.0994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, build_cpu_time: 0.0101, build_memory: 245313389.6, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 88.9612, mean_absolute_error: 0.2356, 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: 0.53, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.6272, scimark_benchmark: 1682.0994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, build_cpu_time: 0.0104, build_memory: 283746448, f_measure: 0.9061, kappa: 0.86, kb_relative_information_score: 85.8065, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9118, predictive_accuracy: 0.9067, prior_entropy: 1.585, recall: 0.9067, relative_absolute_error: 0.5467, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.6532, scimark_benchmark: 1682.0994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, build_cpu_time: 0.0113, build_memory: 281761428, f_measure: 0.8385, kappa: 0.76, kb_relative_information_score: 79.1281, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.858, predictive_accuracy: 0.84, prior_entropy: 1.585, recall: 0.84, relative_absolute_error: 0.5833, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.7071, scimark_benchmark: 1682.0994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, build_cpu_time: 0.0139, build_memory: 302666537.6, f_measure: 0.6919, kappa: 0.55, kb_relative_information_score: 62.1879, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.742, predictive_accuracy: 0.7, prior_entropy: 1.585, recall: 0.7, relative_absolute_error: 0.6867, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8406, scimark_benchmark: 1682.0994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, build_cpu_time: 0.0151, build_memory: 307397592, f_measure: 0.788, kappa: 0.69, kb_relative_information_score: 70.2828, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8297, predictive_accuracy: 0.7933, prior_entropy: 1.585, recall: 0.7933, relative_absolute_error: 0.6467, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.7916, scimark_benchmark: 1682.0994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, build_cpu_time: 0.0087, build_memory: 352283213.6, f_measure: 0.9266, kappa: 0.89, kb_relative_information_score: 87.6993, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9276, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.5367, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.6377, scimark_benchmark: 1682.0994,

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