Task
Supervised Classification on pasture

Supervised Classification on pasture

Task 3059 Supervised Classification pasture 309 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8292, kappa: 0.6986, kb_relative_information_score: 7.395, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8636, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.3734, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.7027, scimark_benchmark: 1350.1007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.6534, kappa: 0.443, kb_relative_information_score: 6.3785, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.75, predictive_accuracy: 0.6364, prior_entropy: 1.585, recall: 0.6364, relative_absolute_error: 0.4527, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.7917, scimark_benchmark: 1253.0071, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.8333, kappa: 0.7027, kb_relative_information_score: 5.724, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9394, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7539, scimark_benchmark: 1337.3179, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0152, kb_relative_information_score: -2.6907, mean_absolute_error: 0.6061, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.0083, predictive_accuracy: 0.0909, prior_entropy: 1.585, recall: 0.0909, relative_absolute_error: 1.3636, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.7785, root_relative_squared_error: 1.6514, scimark_benchmark: 1286.2211, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.6534, kappa: 0.443, kb_relative_information_score: 6.3785, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.75, predictive_accuracy: 0.6364, prior_entropy: 1.585, recall: 0.6364, relative_absolute_error: 0.4527, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.7917, scimark_benchmark: 1354.3488, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.7491, kappa: 0.5658, kb_relative_information_score: 6.9621, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8182, predictive_accuracy: 0.7273, prior_entropy: 1.585, recall: 0.7273, relative_absolute_error: 0.4056, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.7545, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8292, kappa: 0.6986, kb_relative_information_score: 7.395, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8636, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.3734, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.7027, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.8333, kappa: 0.7027, kb_relative_information_score: 5.724, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9394, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7539, scimark_benchmark: 942.9708, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.7491, kappa: 0.5658, kb_relative_information_score: 6.9621, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8182, predictive_accuracy: 0.7273, prior_entropy: 1.585, recall: 0.7273, relative_absolute_error: 0.4056, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.7545, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8292, kappa: 0.6986, kb_relative_information_score: 7.395, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8636, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.3734, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.7027, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8292, kappa: 0.6986, kb_relative_information_score: 7.395, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8636, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.3734, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.7027, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8292, kappa: 0.6986, kb_relative_information_score: 7.395, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8636, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.3734, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.7027, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9177, kappa: 0.8451, kb_relative_information_score: 9, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9545, predictive_accuracy: 0.9091, prior_entropy: 1.585, recall: 0.9091, relative_absolute_error: 0.2045, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.5839, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8292, kappa: 0.6986, kb_relative_information_score: 7.395, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8636, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.3734, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.7027, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9177, kappa: 0.8451, kb_relative_information_score: 9, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9545, predictive_accuracy: 0.9091, prior_entropy: 1.585, recall: 0.9091, relative_absolute_error: 0.2045, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.5839, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8292, kappa: 0.6986, kb_relative_information_score: 7.395, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8636, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.3734, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.7027, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8292, kappa: 0.6986, kb_relative_information_score: 7.395, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8636, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.3734, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.7027, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8292, kappa: 0.6986, kb_relative_information_score: 7.395, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8636, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.3734, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.7027, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.6944, kappa: 0.5417, kb_relative_information_score: 4.371, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8615, predictive_accuracy: 0.7273, prior_entropy: 1.585, recall: 0.7273, relative_absolute_error: 0.7077, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8508, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.7491, kappa: 0.5658, kb_relative_information_score: 6.9621, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8182, predictive_accuracy: 0.7273, prior_entropy: 1.585, recall: 0.7273, relative_absolute_error: 0.4056, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.7545, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.8333, kappa: 0.7027, kb_relative_information_score: 8.2469, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9394, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.275, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.7269, scimark_benchmark: 1337.6765, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8333, kappa: 0.7027, kb_relative_information_score: 8.3411, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9394, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.2614, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.6784, scimark_benchmark: 894.7222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.9177, kappa: 0.8451, kb_relative_information_score: 9.2284, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9545, predictive_accuracy: 0.9091, prior_entropy: 1.585, recall: 0.9091, relative_absolute_error: 0.1906, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.5414, scimark_benchmark: 1320.9026, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9177, kappa: 0.8451, kb_relative_information_score: 9, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9545, predictive_accuracy: 0.9091, prior_entropy: 1.585, recall: 0.9091, relative_absolute_error: 0.2045, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.5839, scimark_benchmark: 1343.6648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.9177, kappa: 0.8451, kb_relative_information_score: 9.2284, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9545, predictive_accuracy: 0.9091, prior_entropy: 1.585, recall: 0.9091, relative_absolute_error: 0.1906, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.5414, scimark_benchmark: 1320.9026, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.8333, kappa: 0.7027, kb_relative_information_score: 4.3265, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9394, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.7972, scimark_benchmark: 1347.5461, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0152, kb_relative_information_score: -2.6907, mean_absolute_error: 0.6061, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.0083, predictive_accuracy: 0.0909, prior_entropy: 1.585, recall: 0.0909, relative_absolute_error: 1.3636, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.7785, root_relative_squared_error: 1.6514, scimark_benchmark: 1360.2771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.8333, kappa: 0.7027, kb_relative_information_score: 8.5237, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9394, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.2386, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.6528, scimark_benchmark: 1326.8946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8292, kappa: 0.6986, kb_relative_information_score: 7.3976, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8636, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.3773, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.331, root_relative_squared_error: 0.7022, scimark_benchmark: 854.5188,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.7532, kappa: 0.5352, kb_relative_information_score: 7.3505, mean_absolute_error: 0.1624, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.7879, predictive_accuracy: 0.7273, prior_entropy: 1.585, recall: 0.7273, relative_absolute_error: 0.3655, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.7117, scimark_benchmark: 1328.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.7491, kappa: 0.5658, kb_relative_information_score: 7.2945, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8182, predictive_accuracy: 0.7273, prior_entropy: 1.585, recall: 0.7273, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.38, root_relative_squared_error: 0.8061, scimark_benchmark: 1308.3432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.9177, kappa: 0.8451, kb_relative_information_score: 9.4882, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9545, predictive_accuracy: 0.9091, prior_entropy: 1.585, recall: 0.9091, relative_absolute_error: 0.1564, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2484, root_relative_squared_error: 0.527, scimark_benchmark: 961.21, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.7491, kappa: 0.5658, kb_relative_information_score: 6.9621, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8182, predictive_accuracy: 0.7273, prior_entropy: 1.585, recall: 0.7273, relative_absolute_error: 0.4056, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.7545, scimark_benchmark: 1360.1753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5857, f_measure: 0.4636, kappa: 0.1538, kb_relative_information_score: 2.7856, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.5303, predictive_accuracy: 0.4545, prior_entropy: 1.585, recall: 0.4545, relative_absolute_error: 0.8182, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.603, root_relative_squared_error: 1.2792, scimark_benchmark: 1268.9931, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.7273, kappa: 0.5714, kb_relative_information_score: 6.9448, mean_absolute_error: 0.1784, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9318, predictive_accuracy: 0.7273, prior_entropy: 1.585, recall: 0.7273, relative_absolute_error: 0.4013, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.8263, scimark_benchmark: 1340.4336,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.6534, kappa: 0.443, kb_relative_information_score: 6.3785, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.75, predictive_accuracy: 0.6364, prior_entropy: 1.585, recall: 0.6364, relative_absolute_error: 0.4527, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.7917, scimark_benchmark: 1368.9272, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.8333, kappa: 0.7027, kb_relative_information_score: 5.724, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9394, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7539, scimark_benchmark: 1336.2509, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5429, f_measure: 0.3335, kappa: 0.0833, kb_relative_information_score: 1.4165, mean_absolute_error: 0.4242, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.6797, predictive_accuracy: 0.3636, prior_entropy: 1.585, recall: 0.3636, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6513, root_relative_squared_error: 1.3817, scimark_benchmark: 1346.9602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.1667, kappa: -0.0233, kb_relative_information_score: 4.5134, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.1212, predictive_accuracy: 0.2727, prior_entropy: 1.585, recall: 0.2727, relative_absolute_error: 0.6818, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.9045, scimark_benchmark: 1335.4072, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8333, kappa: 0.7027, kb_relative_information_score: 8.3411, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9394, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.2614, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.6784, scimark_benchmark: 1346.9602, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7357, f_measure: 0.6424, kappa: 0.4286, kb_relative_information_score: 5.5237, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.7727, predictive_accuracy: 0.6364, prior_entropy: 1.585, recall: 0.6364, relative_absolute_error: 0.5455, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.0445, scimark_benchmark: 1318.1432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0152, kb_relative_information_score: -2.6907, mean_absolute_error: 0.6061, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.0083, predictive_accuracy: 0.0909, prior_entropy: 1.585, recall: 0.0909, relative_absolute_error: 1.3636, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.7785, root_relative_squared_error: 1.6514, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.8333, kappa: 0.7027, kb_relative_information_score: 8.2619, mean_absolute_error: 0.1212, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9394, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.2727, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.7385, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.5399, kappa: 0.4133, kb_relative_information_score: 5.5237, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.4903, predictive_accuracy: 0.6364, prior_entropy: 1.585, recall: 0.6364, relative_absolute_error: 0.5455, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.0445, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.5758, kappa: 0.45, kb_relative_information_score: 5.5237, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.5636, predictive_accuracy: 0.6364, prior_entropy: 1.585, recall: 0.6364, relative_absolute_error: 0.5455, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.0445, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0152, kb_relative_information_score: -0.479, mean_absolute_error: 0.4719, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.0083, predictive_accuracy: 0.0909, prior_entropy: 1.585, recall: 0.0909, relative_absolute_error: 1.0617, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0713, scimark_benchmark: 1505.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.8333, kappa: 0.7027, kb_relative_information_score: 8.5237, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.9394, predictive_accuracy: 0.8182, prior_entropy: 1.585, recall: 0.8182, relative_absolute_error: 0.2386, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.6528, scimark_benchmark: 1503.3362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, build_cpu_time: 0.121, build_memory: 1029809184, f_measure: 0.7491, kappa: 0.5658, kb_relative_information_score: 6.7787, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8182, predictive_accuracy: 0.7273, prior_entropy: 1.585, recall: 0.7273, relative_absolute_error: 0.4252, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.9066, scimark_benchmark: 936.5273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, build_cpu_time: 0.085, build_memory: 1340138976, f_measure: 0.7491, kappa: 0.5658, kb_relative_information_score: 6.7787, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8182, predictive_accuracy: 0.7273, prior_entropy: 1.585, recall: 0.7273, relative_absolute_error: 0.4252, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.9066, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, build_cpu_time: 0.096, build_memory: 877543160, f_measure: 0.7491, kappa: 0.5658, kb_relative_information_score: 6.7787, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8182, predictive_accuracy: 0.7273, prior_entropy: 1.585, recall: 0.7273, relative_absolute_error: 0.4252, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.9066, scimark_benchmark: 943.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, build_cpu_time: 0.111, build_memory: 576400592, f_measure: 0.7491, kappa: 0.5658, kb_relative_information_score: 6.7787, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.8182, predictive_accuracy: 0.7273, prior_entropy: 1.585, recall: 0.7273, relative_absolute_error: 0.4252, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.9066, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7786, build_cpu_time: 0.002, build_memory: 1169018520, f_measure: 0.1667, kappa: -0.0233, kb_relative_information_score: 3.0268, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.1212, predictive_accuracy: 0.2727, prior_entropy: 1.585, recall: 0.2727, relative_absolute_error: 0.8076, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.8999, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7786, build_cpu_time: 0.002, build_memory: 63723896, f_measure: 0.1667, kappa: -0.0233, kb_relative_information_score: 3.0268, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.1212, predictive_accuracy: 0.2727, prior_entropy: 1.585, recall: 0.2727, relative_absolute_error: 0.8076, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.8999, scimark_benchmark: 940.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7786, build_cpu_time: 0.002, build_memory: 228306088, f_measure: 0.1667, kappa: -0.0233, kb_relative_information_score: 3.0268, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.1212, predictive_accuracy: 0.2727, prior_entropy: 1.585, recall: 0.2727, relative_absolute_error: 0.8076, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.8999, scimark_benchmark: 926.9332,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs