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Function: require_once

OpenML
Task
Supervised Classification on sleep

Supervised Classification on sleep

Task 3605 Supervised Classification sleep 478 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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478 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7649, f_measure: 0.726, kappa: 0.4505, kb_relative_information_score: 21.1512, mean_absolute_error: 0.3353, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7266, predictive_accuracy: 0.7258, prior_entropy: 0.9972, recall: 0.7258, relative_absolute_error: 0.6733, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4625, root_relative_squared_error: 0.927, scimark_benchmark: 1325.2092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, f_measure: 0.726, kappa: 0.4505, kb_relative_information_score: 27.7963, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7266, predictive_accuracy: 0.7258, prior_entropy: 0.9972, recall: 0.7258, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5236, root_relative_squared_error: 1.0495, scimark_benchmark: 1363.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3698, kb_relative_information_score: 3.6605, mean_absolute_error: 0.4677, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.2833, predictive_accuracy: 0.5323, prior_entropy: 0.9972, recall: 0.5323, relative_absolute_error: 0.9393, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6839, root_relative_squared_error: 1.3707, scimark_benchmark: 1333.5799, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6829, f_measure: 0.6838, kappa: 0.3727, kb_relative_information_score: 23.7736, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7056, predictive_accuracy: 0.6935, prior_entropy: 0.9972, recall: 0.6935, relative_absolute_error: 0.6154, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5536, root_relative_squared_error: 1.1095, scimark_benchmark: 1386.5717, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, f_measure: 0.7201, kappa: 0.4411, kb_relative_information_score: 17.1658, mean_absolute_error: 0.3765, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.734, predictive_accuracy: 0.7258, prior_entropy: 0.9972, recall: 0.7258, relative_absolute_error: 0.756, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.438, root_relative_squared_error: 0.8779, scimark_benchmark: 938.343, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5747, f_measure: 0.5771, kappa: 0.1507, kb_relative_information_score: 9.6944, mean_absolute_error: 0.4194, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.5784, predictive_accuracy: 0.5806, prior_entropy: 0.9972, recall: 0.5806, relative_absolute_error: 0.8421, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6476, root_relative_squared_error: 1.2979, scimark_benchmark: 938.343, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7795, f_measure: 0.7072, kappa: 0.412, kb_relative_information_score: 16.9154, mean_absolute_error: 0.379, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7108, predictive_accuracy: 0.7097, prior_entropy: 0.9972, recall: 0.7097, relative_absolute_error: 0.7611, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.88, scimark_benchmark: 915.6729, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4848, f_measure: 0.3624, kappa: -0.0322, kb_relative_information_score: 1.6492, mean_absolute_error: 0.4839, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.2792, predictive_accuracy: 0.5161, prior_entropy: 0.9972, recall: 0.5161, relative_absolute_error: 0.9717, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6956, root_relative_squared_error: 1.3941, scimark_benchmark: 1306.6379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7205, f_measure: 0.7088, kappa: 0.4145, kb_relative_information_score: 18.1904, mean_absolute_error: 0.3658, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7093, predictive_accuracy: 0.7097, prior_entropy: 0.9972, recall: 0.7097, relative_absolute_error: 0.7346, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9409, scimark_benchmark: 1372.2145, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6698, f_measure: 0.6747, kappa: 0.3467, kb_relative_information_score: 10.765, mean_absolute_error: 0.4247, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6777, predictive_accuracy: 0.6774, prior_entropy: 0.9972, recall: 0.6774, relative_absolute_error: 0.8528, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4889, root_relative_squared_error: 0.9799, scimark_benchmark: 1307.4861, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5987, f_measure: 0.6133, kappa: 0.2258, kb_relative_information_score: 11.7787, mean_absolute_error: 0.4041, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.615, predictive_accuracy: 0.6129, prior_entropy: 0.9972, recall: 0.6129, relative_absolute_error: 0.8115, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6082, root_relative_squared_error: 1.219, scimark_benchmark: 1313.5726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6473, f_measure: 0.6572, kappa: 0.3126, kb_relative_information_score: 11.4399, mean_absolute_error: 0.4204, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.662, predictive_accuracy: 0.6613, prior_entropy: 0.9972, recall: 0.6613, relative_absolute_error: 0.8441, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4935, root_relative_squared_error: 0.9891, scimark_benchmark: 1316.0472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6834, f_measure: 0.7225, kappa: 0.4435, kb_relative_information_score: 17.9711, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.729, predictive_accuracy: 0.7258, prior_entropy: 0.9972, recall: 0.7258, relative_absolute_error: 0.747, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.449, root_relative_squared_error: 0.8999, scimark_benchmark: 1330.2678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.687, f_measure: 0.6899, kappa: 0.378, kb_relative_information_score: 23.7736, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6955, predictive_accuracy: 0.6935, prior_entropy: 0.9972, recall: 0.6935, relative_absolute_error: 0.6154, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5536, root_relative_squared_error: 1.1095, scimark_benchmark: 1320.2556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4096, f_measure: 0.3017, kappa: -0.1721, kb_relative_information_score: -14.4414, mean_absolute_error: 0.6129, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.3124, predictive_accuracy: 0.3871, prior_entropy: 0.9972, recall: 0.3871, relative_absolute_error: 1.2308, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.7829, root_relative_squared_error: 1.569, scimark_benchmark: 1290.1085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6557, f_measure: 0.627, kappa: 0.2503, kb_relative_information_score: 12.8568, mean_absolute_error: 0.4048, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6279, predictive_accuracy: 0.629, prior_entropy: 0.9972, recall: 0.629, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5217, root_relative_squared_error: 1.0456, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, f_measure: 0.6608, kappa: 0.3183, kb_relative_information_score: 19.751, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6607, predictive_accuracy: 0.6613, prior_entropy: 0.9972, recall: 0.6613, relative_absolute_error: 0.6802, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.582, root_relative_squared_error: 1.1664, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.674, f_measure: 0.6764, kappa: 0.3494, kb_relative_information_score: 21.7623, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6768, predictive_accuracy: 0.6774, prior_entropy: 0.9972, recall: 0.6774, relative_absolute_error: 0.6478, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.568, root_relative_squared_error: 1.1383, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4519, f_measure: 0.3698, kb_relative_information_score: -0.1155, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.2833, predictive_accuracy: 0.5323, prior_entropy: 0.9972, recall: 0.5323, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0013, scimark_benchmark: 1505.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6317, f_measure: 0.6572, kappa: 0.3126, kb_relative_information_score: 13.967, mean_absolute_error: 0.3994, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.662, predictive_accuracy: 0.6613, prior_entropy: 0.9972, recall: 0.6613, relative_absolute_error: 0.8021, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5048, root_relative_squared_error: 1.0117, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, f_measure: 0.6336, kappa: 0.2977, kb_relative_information_score: 19.9586, mean_absolute_error: 0.3367, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7002, predictive_accuracy: 0.6613, prior_entropy: 0.9972, recall: 0.6613, relative_absolute_error: 0.6762, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5643, root_relative_squared_error: 1.1309, scimark_benchmark: 931.2336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, f_measure: 0.6336, kappa: 0.2977, kb_relative_information_score: 19.9586, mean_absolute_error: 0.3367, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7002, predictive_accuracy: 0.6613, prior_entropy: 0.9972, recall: 0.6613, relative_absolute_error: 0.6762, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5643, root_relative_squared_error: 1.1309, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, f_measure: 0.6336, kappa: 0.2977, kb_relative_information_score: 19.9586, mean_absolute_error: 0.3367, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7002, predictive_accuracy: 0.6613, prior_entropy: 0.9972, recall: 0.6613, relative_absolute_error: 0.6762, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5643, root_relative_squared_error: 1.1309, scimark_benchmark: 941.7954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, f_measure: 0.6336, kappa: 0.2977, kb_relative_information_score: 19.9586, mean_absolute_error: 0.3367, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7002, predictive_accuracy: 0.6613, prior_entropy: 0.9972, recall: 0.6613, relative_absolute_error: 0.6762, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5643, root_relative_squared_error: 1.1309, scimark_benchmark: 923.7642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, f_measure: 0.6336, kappa: 0.2977, kb_relative_information_score: 19.9586, mean_absolute_error: 0.3367, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7002, predictive_accuracy: 0.6613, prior_entropy: 0.9972, recall: 0.6613, relative_absolute_error: 0.6762, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5643, root_relative_squared_error: 1.1309, scimark_benchmark: 894.7455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6578, f_measure: 0.627, kappa: 0.2503, kb_relative_information_score: 17.3419, mean_absolute_error: 0.3566, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6279, predictive_accuracy: 0.629, prior_entropy: 0.9972, recall: 0.629, relative_absolute_error: 0.716, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.574, root_relative_squared_error: 1.1505, scimark_benchmark: 936.6206, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.686, f_measure: 0.6572, kappa: 0.3126, kb_relative_information_score: 20.8134, mean_absolute_error: 0.3297, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.662, predictive_accuracy: 0.6613, prior_entropy: 0.9972, recall: 0.6613, relative_absolute_error: 0.662, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5524, root_relative_squared_error: 1.107, scimark_benchmark: 943.2817, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6923, f_measure: 0.705, kappa: 0.4095, kb_relative_information_score: 24.8182, mean_absolute_error: 0.2988, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7142, predictive_accuracy: 0.7097, prior_entropy: 0.9972, recall: 0.7097, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.525, root_relative_squared_error: 1.0522, scimark_benchmark: 942.1229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7409, f_measure: 0.7225, kappa: 0.4435, kb_relative_information_score: 27.0972, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.729, predictive_accuracy: 0.7258, prior_entropy: 0.9972, recall: 0.7258, relative_absolute_error: 0.5662, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5088, root_relative_squared_error: 1.0198, scimark_benchmark: 922.9039, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7461, f_measure: 0.705, kappa: 0.4095, kb_relative_information_score: 27.055, mean_absolute_error: 0.2793, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7142, predictive_accuracy: 0.7097, prior_entropy: 0.9972, recall: 0.7097, relative_absolute_error: 0.5608, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5085, root_relative_squared_error: 1.0191, scimark_benchmark: 938.9865, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.6129, kappa: 0.229, kb_relative_information_score: 13.8081, mean_absolute_error: 0.389, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.618, predictive_accuracy: 0.6129, prior_entropy: 0.9972, recall: 0.6129, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5767, root_relative_squared_error: 1.1559, scimark_benchmark: 936.6206, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6228, f_measure: 0.6455, kappa: 0.2903, kb_relative_information_score: 15.4137, mean_absolute_error: 0.3802, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6472, predictive_accuracy: 0.6452, prior_entropy: 0.9972, recall: 0.6452, relative_absolute_error: 0.7635, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.552, root_relative_squared_error: 1.1062, scimark_benchmark: 924.6116, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6405, f_measure: 0.6455, kappa: 0.2903, kb_relative_information_score: 15.212, mean_absolute_error: 0.3818, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6472, predictive_accuracy: 0.6452, prior_entropy: 0.9972, recall: 0.6452, relative_absolute_error: 0.7666, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5352, root_relative_squared_error: 1.0727, scimark_benchmark: 924.6116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6447, f_measure: 0.6764, kappa: 0.3494, kb_relative_information_score: 16.6869, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6768, predictive_accuracy: 0.6774, prior_entropy: 0.9972, recall: 0.6774, relative_absolute_error: 0.7526, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5151, root_relative_squared_error: 1.0324, scimark_benchmark: 947.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6573, f_measure: 0.6764, kappa: 0.3494, kb_relative_information_score: 14.7688, mean_absolute_error: 0.3894, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6768, predictive_accuracy: 0.6774, prior_entropy: 0.9972, recall: 0.6774, relative_absolute_error: 0.7819, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5095, root_relative_squared_error: 1.0211, scimark_benchmark: 929.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4519, f_measure: 0.3698, kb_relative_information_score: -0.1155, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.2833, predictive_accuracy: 0.5323, prior_entropy: 0.9972, recall: 0.5323, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0013, scimark_benchmark: 932.3943,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6374, build_cpu_time: 0.0312, build_memory: 758885179.3548, f_measure: 0.6422, kappa: 0.2813, kb_relative_information_score: 16.1172, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6446, predictive_accuracy: 0.6452, prior_entropy: 0.9972, recall: 0.6452, relative_absolute_error: 0.7449, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.1734, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6682, build_cpu_time: 0.0596, build_memory: 312808368.2581, f_measure: 0.6899, kappa: 0.378, kb_relative_information_score: 22.9631, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6955, predictive_accuracy: 0.6935, prior_entropy: 0.9972, recall: 0.6935, relative_absolute_error: 0.6321, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5513, root_relative_squared_error: 1.1049, scimark_benchmark: 944.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7048, build_cpu_time: 0.1585, build_memory: 607327197.2903, f_measure: 0.7088, kappa: 0.4145, kb_relative_information_score: 24.8602, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7093, predictive_accuracy: 0.7097, prior_entropy: 0.9972, recall: 0.7097, relative_absolute_error: 0.6011, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.54, root_relative_squared_error: 1.0822, scimark_benchmark: 902.712,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6646, build_cpu_time: 0.4466, build_memory: 969205743.0968, f_measure: 0.6572, kappa: 0.3126, kb_relative_information_score: 19.7431, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.662, predictive_accuracy: 0.6613, prior_entropy: 0.9972, recall: 0.6613, relative_absolute_error: 0.6803, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.582, root_relative_squared_error: 1.1664, scimark_benchmark: 937.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6567, build_cpu_time: 0.0089, build_memory: 354437691.0968, f_measure: 0.6899, kappa: 0.378, kb_relative_information_score: 15.0972, mean_absolute_error: 0.3908, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6955, predictive_accuracy: 0.6935, prior_entropy: 0.9972, recall: 0.6935, relative_absolute_error: 0.7848, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0025, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6567, build_cpu_time: 0.0097, build_memory: 1044616135.2258, f_measure: 0.6899, kappa: 0.378, kb_relative_information_score: 15.0972, mean_absolute_error: 0.3908, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6955, predictive_accuracy: 0.6935, prior_entropy: 0.9972, recall: 0.6935, relative_absolute_error: 0.7848, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0025, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6567, build_cpu_time: 0.0085, build_memory: 1084806219.3548, f_measure: 0.6899, kappa: 0.378, kb_relative_information_score: 15.0972, mean_absolute_error: 0.3908, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6955, predictive_accuracy: 0.6935, prior_entropy: 0.9972, recall: 0.6935, relative_absolute_error: 0.7848, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0025, scimark_benchmark: 939.0159,

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