Task
Supervised Classification on shuttle-landing-control

Supervised Classification on shuttle-landing-control

Task 2931 Supervised Classification shuttle-landing-control 213 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0357, f_measure: 0.9011, kb_relative_information_score: 24.171, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.6304, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2637, root_relative_squared_error: 1.0357, scimark_benchmark: 1365.0842, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.35, f_measure: 0.9011, kb_relative_information_score: -21.7429, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2692, root_relative_squared_error: 1.0572, scimark_benchmark: 1327.6367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4157, f_measure: 0.9011, kb_relative_information_score: -96.8297, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 1.1392, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2986, root_relative_squared_error: 1.1726, scimark_benchmark: 1335.3438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1857, f_measure: 0.9011, kb_relative_information_score: 8.9178, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2719, root_relative_squared_error: 1.0681, scimark_benchmark: 1371.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0357, f_measure: 0.9011, kb_relative_information_score: 17.0132, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7798, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2674, root_relative_squared_error: 1.0504, scimark_benchmark: 1345.0202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9011, kb_relative_information_score: 44.922, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.3953, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2582, root_relative_squared_error: 1.0141, scimark_benchmark: 1397.3209,
0 likes - 0 downloads - 0 reach - f_measure: 0.9011, kb_relative_information_score: -99.8042, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 1.2093, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.3049, root_relative_squared_error: 1.1976, scimark_benchmark: 1319.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.35, f_measure: 0.9011, kb_relative_information_score: -21.7429, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2692, root_relative_squared_error: 1.0572, scimark_benchmark: 1247.5691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4157, f_measure: 0.9011, kb_relative_information_score: -96.8297, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 1.1392, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2986, root_relative_squared_error: 1.1726, scimark_benchmark: 1397.3209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1857, f_measure: 0.9011, kb_relative_information_score: 8.9178, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2719, root_relative_squared_error: 1.0681, scimark_benchmark: 929.0363, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0357, f_measure: 0.9011, kb_relative_information_score: 20.0392, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7394, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2657, root_relative_squared_error: 1.0436, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9011, kb_relative_information_score: 44.922, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.3953, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2582, root_relative_squared_error: 1.0141, scimark_benchmark: 1314.0283, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1857, f_measure: 0.9011, kb_relative_information_score: 8.9178, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2719, root_relative_squared_error: 1.0681, scimark_benchmark: 1260.1387, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.35, f_measure: 0.9011, kb_relative_information_score: -21.7429, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2692, root_relative_squared_error: 1.0572, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1857, f_measure: 0.9011, kb_relative_information_score: 8.9178, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2719, root_relative_squared_error: 1.0681, scimark_benchmark: 1326.8946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0357, f_measure: 0.9011, kb_relative_information_score: 17.0132, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7798, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2674, root_relative_squared_error: 1.0504, scimark_benchmark: 1320.9387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9011, kb_relative_information_score: 44.922, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.3953, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2582, root_relative_squared_error: 1.0141, scimark_benchmark: 1227.9507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9011, kb_relative_information_score: -519.3097, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 2.9651, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.5, root_relative_squared_error: 1.9639, scimark_benchmark: 1320.9387, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.35, f_measure: 0.9011, kb_relative_information_score: -21.7429, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2692, root_relative_squared_error: 1.0572, scimark_benchmark: 1314.7093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0357, f_measure: 0.9011, kb_relative_information_score: 24.171, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.6304, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2637, root_relative_squared_error: 1.0357, scimark_benchmark: 1264.9916,
0 likes - 0 downloads - 0 reach - f_measure: 0.9011, kb_relative_information_score: -99.8042, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 1.2093, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.3049, root_relative_squared_error: 1.1976, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.35, f_measure: 0.9011, kb_relative_information_score: -21.7429, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2692, root_relative_squared_error: 1.0572, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.35, f_measure: 0.9011, kb_relative_information_score: -21.7429, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2692, root_relative_squared_error: 1.0572, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - f_measure: 0.9011, kb_relative_information_score: -99.8042, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 1.2093, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.3049, root_relative_squared_error: 1.1976, scimark_benchmark: 1347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.35, f_measure: 0.9011, kb_relative_information_score: -21.7429, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2692, root_relative_squared_error: 1.0572, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.35, f_measure: 0.9011, kb_relative_information_score: -21.7429, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2692, root_relative_squared_error: 1.0572, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.35, f_measure: 0.9011, kb_relative_information_score: -21.7429, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2692, root_relative_squared_error: 1.0572, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - f_measure: 0.9011, kb_relative_information_score: -99.8042, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 1.2093, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.3049, root_relative_squared_error: 1.1976, scimark_benchmark: 933.1165,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0357, f_measure: 0.9011, kb_relative_information_score: 17.0132, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7798, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2674, root_relative_squared_error: 1.0504, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0357, f_measure: 0.9011, kb_relative_information_score: -64.8804, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.9764, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2878, root_relative_squared_error: 1.1303, scimark_benchmark: 1345.4669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9011, kb_relative_information_score: 4.4941, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.884, scimark_benchmark: 942.9708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2286, f_measure: 0.9011, kb_relative_information_score: -3.6455, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7893, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2746, root_relative_squared_error: 1.0786, scimark_benchmark: 1064.8317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4157, f_measure: 0.9011, kb_relative_information_score: -96.8297, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 1.1392, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2986, root_relative_squared_error: 1.1726, scimark_benchmark: 1340.1351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.9011, kb_relative_information_score: 3.582, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.6049, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.8664, scimark_benchmark: 1342.1678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9011, kb_relative_information_score: 4.4941, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.884, scimark_benchmark: 1357.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0357, f_measure: 0.9011, kb_relative_information_score: 17.0132, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7798, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2674, root_relative_squared_error: 1.0504, scimark_benchmark: 1333.8751, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.9011, kb_relative_information_score: 3.582, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.6049, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.8664, scimark_benchmark: 1331.2332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2821, f_measure: 0.9011, kb_relative_information_score: 32.2611, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.57, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2623, root_relative_squared_error: 1.0302, scimark_benchmark: 883.2709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0357, f_measure: 0.9011, kb_relative_information_score: 17.0132, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7798, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2674, root_relative_squared_error: 1.0504, scimark_benchmark: 885.0921, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0357, f_measure: 0.9011, kb_relative_information_score: 18.101, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7654, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2668, root_relative_squared_error: 1.0478, scimark_benchmark: 1371.9645, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0357, f_measure: 0.9011, kb_relative_information_score: 17.0132, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7798, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2674, root_relative_squared_error: 1.0504, scimark_benchmark: 1347.388,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0357, f_measure: 0.9011, kb_relative_information_score: 24.171, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.6304, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2637, root_relative_squared_error: 1.0357, scimark_benchmark: 887.6719, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - f_measure: 0.9011, kb_relative_information_score: -99.8042, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 1.2093, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.3049, root_relative_squared_error: 1.1976, scimark_benchmark: 1363.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4157, f_measure: 0.9011, kb_relative_information_score: -96.8297, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 1.1392, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2986, root_relative_squared_error: 1.1726, scimark_benchmark: 1327.8711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1857, f_measure: 0.9011, kb_relative_information_score: 8.9178, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2719, root_relative_squared_error: 1.0681, scimark_benchmark: 1318.5526, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2286, f_measure: 0.9011, kb_relative_information_score: -3.6455, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7893, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2746, root_relative_squared_error: 1.0786, scimark_benchmark: 1073.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0357, f_measure: 0.9011, kb_relative_information_score: 17.0132, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7798, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2674, root_relative_squared_error: 1.0504, scimark_benchmark: 1318.1432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0357, f_measure: 0.9011, kb_relative_information_score: 17.0132, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7798, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2674, root_relative_squared_error: 1.0504, scimark_benchmark: 1304.6687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9011, kb_relative_information_score: 44.922, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.3953, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2582, root_relative_squared_error: 1.0141, scimark_benchmark: 1291.6995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9011, kb_relative_information_score: 44.922, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.3953, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2582, root_relative_squared_error: 1.0141, scimark_benchmark: 1368.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0357, f_measure: 0.9011, kb_relative_information_score: 17.0132, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7798, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2674, root_relative_squared_error: 1.0504, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4679, f_measure: 0.8702, kappa: -0.0674, kb_relative_information_score: -11.3632, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8671, predictive_accuracy: 0.8733, prior_entropy: 0.5226, recall: 0.8733, relative_absolute_error: 0.7512, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.3559, root_relative_squared_error: 1.3979, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9011, kb_relative_information_score: 44.922, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.3953, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2582, root_relative_squared_error: 1.0141, scimark_benchmark: 1345.5871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0357, f_measure: 0.9011, kb_relative_information_score: -36.0124, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 1.0641, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2703, root_relative_squared_error: 1.0617, scimark_benchmark: 1028.5889,

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