OpenML
Supervised Classification on schlvote

Supervised Classification on schlvote

Task 3713 Supervised Classification schlvote 523 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6252, kb_relative_information_score: 9.8416, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.5429, predictive_accuracy: 0.7368, prior_entropy: 0.8485, recall: 0.7368, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.513, root_relative_squared_error: 1.1645, scimark_benchmark: 1449.4352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, f_measure: 0.7926, kappa: 0.434, kb_relative_information_score: 10.902, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.8134, predictive_accuracy: 0.8158, prior_entropy: 0.8485, recall: 0.8158, relative_absolute_error: 0.7126, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.8918, scimark_benchmark: 1251.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5196, f_measure: 0.7054, kappa: 0.2288, kb_relative_information_score: 2.6213, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7014, predictive_accuracy: 0.7105, prior_entropy: 0.8485, recall: 0.7105, relative_absolute_error: 0.8906, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.5295, root_relative_squared_error: 1.202, scimark_benchmark: 1347.0114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5786, f_measure: 0.7926, kappa: 0.434, kb_relative_information_score: 12.049, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.8134, predictive_accuracy: 0.8158, prior_entropy: 0.8485, recall: 0.8158, relative_absolute_error: 0.6859, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.399, root_relative_squared_error: 0.9057, scimark_benchmark: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5161, f_measure: 0.4678, kappa: -0.2997, kb_relative_information_score: -7.1543, mean_absolute_error: 0.4138, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.4918, predictive_accuracy: 0.4474, prior_entropy: 0.8485, recall: 0.4474, relative_absolute_error: 1.0519, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.5505, root_relative_squared_error: 1.2498, scimark_benchmark: 1330.7934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5161, f_measure: 0.4678, kappa: -0.2997, kb_relative_information_score: -6.8366, mean_absolute_error: 0.4105, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.4918, predictive_accuracy: 0.4474, prior_entropy: 0.8485, recall: 0.4474, relative_absolute_error: 1.0433, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.5459, root_relative_squared_error: 1.2393, scimark_benchmark: 1339.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.7325, kappa: 0.2692, kb_relative_information_score: 15.3249, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.8363, predictive_accuracy: 0.7895, prior_entropy: 0.8485, recall: 0.7895, relative_absolute_error: 0.5351, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4588, root_relative_squared_error: 1.0416, scimark_benchmark: 1301.9176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, f_measure: 0.6932, kappa: 0.1593, kb_relative_information_score: 1.4061, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.695, predictive_accuracy: 0.7368, prior_entropy: 0.8485, recall: 0.7368, relative_absolute_error: 0.9296, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.9692, scimark_benchmark: 1315.4655, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6714, f_measure: 0.7814, kappa: 0.4198, kb_relative_information_score: 10.1956, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7785, predictive_accuracy: 0.7895, prior_entropy: 0.8485, recall: 0.7895, relative_absolute_error: 0.6731, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4348, root_relative_squared_error: 0.987, scimark_benchmark: 1350.9691, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7107, f_measure: 0.7483, kappa: 0.3241, kb_relative_information_score: 6.7723, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7446, predictive_accuracy: 0.7632, prior_entropy: 0.8485, recall: 0.7632, relative_absolute_error: 0.7679, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.9992, scimark_benchmark: 1334.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, f_measure: 0.7926, kappa: 0.434, kb_relative_information_score: -12.5942, mean_absolute_error: 0.4597, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.8134, predictive_accuracy: 0.8158, prior_entropy: 0.8485, recall: 0.8158, relative_absolute_error: 1.1684, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.467, root_relative_squared_error: 1.06, scimark_benchmark: 1329.0992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6143, f_measure: 0.7334, kappa: 0.2723, kb_relative_information_score: 12.5832, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7384, predictive_accuracy: 0.7632, prior_entropy: 0.8485, recall: 0.7632, relative_absolute_error: 0.602, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4867, root_relative_squared_error: 1.1048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5786, f_measure: 0.7926, kappa: 0.434, kb_relative_information_score: 11.4922, mean_absolute_error: 0.2739, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.8134, predictive_accuracy: 0.8158, prior_entropy: 0.8485, recall: 0.8158, relative_absolute_error: 0.6962, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.9515, scimark_benchmark: 1307.7326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.7702, kappa: 0.377, kb_relative_information_score: 6.954, mean_absolute_error: 0.3038, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7741, predictive_accuracy: 0.7895, prior_entropy: 0.8485, recall: 0.7895, relative_absolute_error: 0.7723, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4208, root_relative_squared_error: 0.9553, scimark_benchmark: 1307.7326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6696, f_measure: 0.7439, kappa: 0.3624, kb_relative_information_score: 8.7151, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7551, predictive_accuracy: 0.7368, prior_entropy: 0.8485, recall: 0.7368, relative_absolute_error: 0.7057, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4738, root_relative_squared_error: 1.0756, scimark_benchmark: 1342.2905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7268, f_measure: 0.7212, kappa: 0.3192, kb_relative_information_score: 7.7285, mean_absolute_error: 0.2806, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7404, predictive_accuracy: 0.7105, prior_entropy: 0.8485, recall: 0.7105, relative_absolute_error: 0.7133, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.5095, root_relative_squared_error: 1.1566, scimark_benchmark: 1324.8395, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, f_measure: 0.8159, kappa: 0.4956, kb_relative_information_score: 5.1486, mean_absolute_error: 0.3386, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.87, predictive_accuracy: 0.8421, prior_entropy: 0.8485, recall: 0.8421, relative_absolute_error: 0.8606, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.9179, scimark_benchmark: 1324.3755, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6553, kappa: 0.0656, kb_relative_information_score: 3.6903, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.6404, predictive_accuracy: 0.6842, prior_entropy: 0.8485, recall: 0.6842, relative_absolute_error: 0.8286, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.5469, root_relative_squared_error: 1.2415, scimark_benchmark: 854.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5286, f_measure: 0.6553, kappa: 0.0656, kb_relative_information_score: 4.3582, mean_absolute_error: 0.3158, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.6404, predictive_accuracy: 0.6842, prior_entropy: 0.8485, recall: 0.6842, relative_absolute_error: 0.8027, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.562, root_relative_squared_error: 1.2757, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4714, f_measure: 0.6252, kb_relative_information_score: -0.2513, mean_absolute_error: 0.3943, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.5429, predictive_accuracy: 0.7368, prior_entropy: 0.8485, recall: 0.7368, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4408, root_relative_squared_error: 1.0006, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.625, f_measure: 0.7545, kappa: 0.3274, kb_relative_information_score: 8.4092, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7825, predictive_accuracy: 0.7895, prior_entropy: 0.8485, recall: 0.7895, relative_absolute_error: 0.7792, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.948, scimark_benchmark: 940.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7321, f_measure: 0.8519, kappa: 0.5957, kb_relative_information_score: 17.9102, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.8884, predictive_accuracy: 0.8684, prior_entropy: 0.8485, recall: 0.8684, relative_absolute_error: 0.5405, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.7692, scimark_benchmark: 912.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.7666, kappa: 0.4083, kb_relative_information_score: 6.7554, mean_absolute_error: 0.3097, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7712, predictive_accuracy: 0.7632, prior_entropy: 0.8485, recall: 0.7632, relative_absolute_error: 0.7873, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.9736, scimark_benchmark: 880.8372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4714, f_measure: 0.6252, kb_relative_information_score: -0.2513, mean_absolute_error: 0.3943, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.5429, predictive_accuracy: 0.7368, prior_entropy: 0.8485, recall: 0.7368, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4408, root_relative_squared_error: 1.0006, scimark_benchmark: 899.5042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.7666, kappa: 0.4083, kb_relative_information_score: 6.7554, mean_absolute_error: 0.3097, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7712, predictive_accuracy: 0.7632, prior_entropy: 0.8485, recall: 0.7632, relative_absolute_error: 0.7873, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.9736, scimark_benchmark: 1368.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6679, f_measure: 0.7545, kappa: 0.3274, kb_relative_information_score: 6.1861, mean_absolute_error: 0.3391, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7825, predictive_accuracy: 0.7895, prior_entropy: 0.8485, recall: 0.7895, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.9218, scimark_benchmark: 889.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6661, f_measure: 0.7666, kappa: 0.4083, kb_relative_information_score: 8.8543, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7712, predictive_accuracy: 0.7632, prior_entropy: 0.8485, recall: 0.7632, relative_absolute_error: 0.7117, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.9771, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, f_measure: 0.8519, kappa: 0.5957, kb_relative_information_score: 7.4768, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.8884, predictive_accuracy: 0.8684, prior_entropy: 0.8485, recall: 0.8684, relative_absolute_error: 0.8115, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.8798, scimark_benchmark: 938.9967, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6804, f_measure: 0.7764, kappa: 0.3871, kb_relative_information_score: 7.6088, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.8526, predictive_accuracy: 0.8158, prior_entropy: 0.8485, recall: 0.8158, relative_absolute_error: 0.8223, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.8946, scimark_benchmark: 1307.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5964, f_measure: 0.8159, kappa: 0.4956, kb_relative_information_score: 14.5383, mean_absolute_error: 0.2472, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.87, predictive_accuracy: 0.8421, prior_entropy: 0.8485, recall: 0.8421, relative_absolute_error: 0.6283, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.829, scimark_benchmark: 1363.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7304, f_measure: 0.7666, kappa: 0.4083, kb_relative_information_score: 11.3137, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7712, predictive_accuracy: 0.7632, prior_entropy: 0.8485, recall: 0.7632, relative_absolute_error: 0.6256, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4824, root_relative_squared_error: 1.0952, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, f_measure: 0.7895, kappa: 0.4571, kb_relative_information_score: 12.9767, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7895, predictive_accuracy: 0.7895, prior_entropy: 0.8485, recall: 0.7895, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4538, root_relative_squared_error: 1.0302, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, f_measure: 0.8126, kappa: 0.5092, kb_relative_information_score: 15.3104, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.8106, predictive_accuracy: 0.8158, prior_entropy: 0.8485, recall: 0.8158, relative_absolute_error: 0.5486, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.9408, scimark_benchmark: 1304.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, f_measure: 0.7951, kappa: 0.4899, kb_relative_information_score: 12.3175, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.8053, predictive_accuracy: 0.7895, prior_entropy: 0.8485, recall: 0.7895, relative_absolute_error: 0.6109, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.9768, scimark_benchmark: 933.3136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7446, f_measure: 0.8361, kappa: 0.5649, kb_relative_information_score: 16.5991, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.836, predictive_accuracy: 0.8421, prior_entropy: 0.8485, recall: 0.8421, relative_absolute_error: 0.5161, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.827, scimark_benchmark: 1318.1432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5321, f_measure: 0.5987, kappa: -0.0962, kb_relative_information_score: -0.1352, mean_absolute_error: 0.3752, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.5322, predictive_accuracy: 0.6842, prior_entropy: 0.8485, recall: 0.6842, relative_absolute_error: 0.9536, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4594, root_relative_squared_error: 1.0428, scimark_benchmark: 1321.9426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5375, f_measure: 0.7334, kappa: 0.2723, kb_relative_information_score: 2.8379, mean_absolute_error: 0.3365, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7384, predictive_accuracy: 0.7632, prior_entropy: 0.8485, recall: 0.7632, relative_absolute_error: 0.8554, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4692, root_relative_squared_error: 1.0652, scimark_benchmark: 942.9518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6786, f_measure: 0.759, kappa: 0.369, kb_relative_information_score: 12.5832, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.756, predictive_accuracy: 0.7632, prior_entropy: 0.8485, recall: 0.7632, relative_absolute_error: 0.602, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4867, root_relative_squared_error: 1.1048, scimark_benchmark: 1313.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6252, kb_relative_information_score: 9.8416, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.5429, predictive_accuracy: 0.7368, prior_entropy: 0.8485, recall: 0.7368, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.513, root_relative_squared_error: 1.1645, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6252, kb_relative_information_score: 9.8416, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.5429, predictive_accuracy: 0.7368, prior_entropy: 0.8485, recall: 0.7368, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.513, root_relative_squared_error: 1.1645, scimark_benchmark: 1337.7959, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.6923, kappa: 0.1739, kb_relative_information_score: 9.814, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.6832, predictive_accuracy: 0.7105, prior_entropy: 0.8485, recall: 0.7105, relative_absolute_error: 0.6692, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0807, scimark_benchmark: 938.4285, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6252, kb_relative_information_score: 9.8416, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.5429, predictive_accuracy: 0.7368, prior_entropy: 0.8485, recall: 0.7368, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.513, root_relative_squared_error: 1.1645, scimark_benchmark: 902.4773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.7666, kappa: 0.4083, kb_relative_information_score: 6.7554, mean_absolute_error: 0.3097, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7712, predictive_accuracy: 0.7632, prior_entropy: 0.8485, recall: 0.7632, relative_absolute_error: 0.7873, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.9736, scimark_benchmark: 935.8986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, f_measure: 0.7926, kappa: 0.434, kb_relative_information_score: 10.8927, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.8134, predictive_accuracy: 0.8158, prior_entropy: 0.8485, recall: 0.8158, relative_absolute_error: 0.7069, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.8929, scimark_benchmark: 935.8986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6252, kb_relative_information_score: 9.8416, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.5429, predictive_accuracy: 0.7368, prior_entropy: 0.8485, recall: 0.7368, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.513, root_relative_squared_error: 1.1645, scimark_benchmark: 947.0793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.7325, kappa: 0.2692, kb_relative_information_score: 15.3249, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.8363, predictive_accuracy: 0.7895, prior_entropy: 0.8485, recall: 0.7895, relative_absolute_error: 0.5351, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4588, root_relative_squared_error: 1.0416, scimark_benchmark: 945.0164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, build_cpu_time: 0.0546, build_memory: 2519514321.4737, f_measure: 0.7483, kappa: 0.3241, kb_relative_information_score: 4.8076, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7446, predictive_accuracy: 0.7632, prior_entropy: 0.8485, recall: 0.7632, relative_absolute_error: 0.8576, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4257, root_relative_squared_error: 0.9664, scimark_benchmark: 943.0816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, build_cpu_time: 0.0503, build_memory: 1063567173.0526, f_measure: 0.7483, kappa: 0.3241, kb_relative_information_score: 4.8123, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7446, predictive_accuracy: 0.7632, prior_entropy: 0.8485, recall: 0.7632, relative_absolute_error: 0.8574, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.9659, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, build_cpu_time: 0.0324, build_memory: 908523551.7895, f_measure: 0.7483, kappa: 0.3241, kb_relative_information_score: 6.0211, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7446, predictive_accuracy: 0.7632, prior_entropy: 0.8485, recall: 0.7632, relative_absolute_error: 0.8214, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.8954, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, build_cpu_time: 0.0273, build_memory: 720900410.7368, f_measure: 0.7483, kappa: 0.3241, kb_relative_information_score: 7.3029, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7446, predictive_accuracy: 0.7632, prior_entropy: 0.8485, recall: 0.7632, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.8728, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, build_cpu_time: 0.0029, build_memory: 161371055.5789, f_measure: 0.759, kappa: 0.369, kb_relative_information_score: 5.0716, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.756, predictive_accuracy: 0.7632, prior_entropy: 0.8485, recall: 0.7632, relative_absolute_error: 0.7914, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4788, root_relative_squared_error: 1.087, scimark_benchmark: 945.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6107, build_cpu_time: 0.0021, build_memory: 636174352, f_measure: 0.759, kappa: 0.369, kb_relative_information_score: 5.523, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.756, predictive_accuracy: 0.7632, prior_entropy: 0.8485, recall: 0.7632, relative_absolute_error: 0.7844, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4788, root_relative_squared_error: 1.0869, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6179, build_cpu_time: 0.0037, build_memory: 635457602.1053, f_measure: 0.759, kappa: 0.369, kb_relative_information_score: 5.5324, mean_absolute_error: 0.3085, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.756, predictive_accuracy: 0.7632, prior_entropy: 0.8485, recall: 0.7632, relative_absolute_error: 0.784, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4788, root_relative_squared_error: 1.0869, scimark_benchmark: 939.1359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6179, build_cpu_time: 0.0048, build_memory: 66477286.1053, f_measure: 0.759, kappa: 0.369, kb_relative_information_score: 5.5324, mean_absolute_error: 0.3085, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.756, predictive_accuracy: 0.7632, prior_entropy: 0.8485, recall: 0.7632, relative_absolute_error: 0.784, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4788, root_relative_squared_error: 1.0869, scimark_benchmark: 926.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6179, build_cpu_time: 0.0049, build_memory: 95004924, f_measure: 0.759, kappa: 0.369, kb_relative_information_score: 5.5324, mean_absolute_error: 0.3085, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.756, predictive_accuracy: 0.7632, prior_entropy: 0.8485, recall: 0.7632, relative_absolute_error: 0.784, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4788, root_relative_squared_error: 1.0869, scimark_benchmark: 945.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, build_cpu_time: 0.0046, build_memory: 624844688.6316, f_measure: 0.7814, kappa: 0.4198, kb_relative_information_score: 15.3249, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7785, predictive_accuracy: 0.7895, prior_entropy: 0.8485, recall: 0.7895, relative_absolute_error: 0.5351, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4588, root_relative_squared_error: 1.0416, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, build_cpu_time: 0.002, build_memory: 508401051.7895, f_measure: 0.7814, kappa: 0.4198, kb_relative_information_score: 15.3249, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7785, predictive_accuracy: 0.7895, prior_entropy: 0.8485, recall: 0.7895, relative_absolute_error: 0.5351, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4588, root_relative_squared_error: 1.0416, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, build_cpu_time: 0.0016, build_memory: 1635143480, f_measure: 0.7814, kappa: 0.4198, kb_relative_information_score: 15.3249, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7785, predictive_accuracy: 0.7895, prior_entropy: 0.8485, recall: 0.7895, relative_absolute_error: 0.5351, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4588, root_relative_squared_error: 1.0416, scimark_benchmark: 934.6076,

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