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OpenML
Task
Supervised Classification on Internet-Advertisements

Supervised Classification on Internet-Advertisements

Task 6566 Supervised Classification Internet-Advertisements 25422 runs submitted
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25422 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.9668, kappa: 0.86, kb_relative_information_score: 2717.2615, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9667, predictive_accuracy: 0.9674, prior_entropy: 0.5848, recall: 0.9674, relative_absolute_error: 0.1354, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.5206, scimark_benchmark: 940.3347, usercpu_time_millis: 18030, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 17920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, f_measure: 0.957, kappa: 0.8115, kb_relative_information_score: 2586.7665, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9609, predictive_accuracy: 0.9597, prior_entropy: 0.5848, recall: 0.9597, relative_absolute_error: 0.1671, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.5783, scimark_benchmark: 1363.454, usercpu_time_millis: 72730, usercpu_time_millis_testing: 19580, usercpu_time_millis_training: 53150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.971, kappa: 0.8772, kb_relative_information_score: 2790.3387, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9712, predictive_accuracy: 0.9716, prior_entropy: 0.5848, recall: 0.9716, relative_absolute_error: 0.1177, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.4854, scimark_benchmark: 1363.434, usercpu_time_millis: 10920, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 10780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9684, kappa: 0.8656, kb_relative_information_score: 2574.4571, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9687, predictive_accuracy: 0.9692, prior_entropy: 0.5848, recall: 0.9692, relative_absolute_error: 0.1987, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.158, root_relative_squared_error: 0.4554, scimark_benchmark: 940.3347, usercpu_time_millis: 36360, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 36220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8733, kappa: 0.4036, kb_relative_information_score: 1361.0059, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8964, predictive_accuracy: 0.8966, prior_entropy: 0.5848, recall: 0.8966, relative_absolute_error: 0.5161, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.8484, scimark_benchmark: 882.7843, usercpu_time_millis: 1193310, usercpu_time_millis_testing: 114640, usercpu_time_millis_training: 1078670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.9492, kappa: 0.7824, kb_relative_information_score: 2435.3923, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9493, predictive_accuracy: 0.9509, prior_entropy: 0.5848, recall: 0.9509, relative_absolute_error: 0.2038, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.6386, scimark_benchmark: 1318.1432, usercpu_time_millis: 730, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9795, kappa: 0.9132, kb_relative_information_score: 2668.1289, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9797, predictive_accuracy: 0.9799, prior_entropy: 0.5848, recall: 0.9799, relative_absolute_error: 0.1802, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1346, root_relative_squared_error: 0.3881, scimark_benchmark: 1066.7184, usercpu_time_millis: 22460, usercpu_time_millis_testing: 730, usercpu_time_millis_training: 21730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.962, kappa: 0.8403, kb_relative_information_score: 2463.3983, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9618, predictive_accuracy: 0.9625, prior_entropy: 0.5848, recall: 0.9625, relative_absolute_error: 0.236, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.5259, scimark_benchmark: 1313.5726, usercpu_time_millis: 9630, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 9620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.968, kappa: 0.8645, kb_relative_information_score: 2596.2878, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.968, predictive_accuracy: 0.9686, prior_entropy: 0.5848, recall: 0.9686, relative_absolute_error: 0.2031, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.4921, scimark_benchmark: 1319.6463, usercpu_time_millis: 33390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 33380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.9729, kappa: 0.8874, kb_relative_information_score: 2811.2179, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9729, predictive_accuracy: 0.9729, prior_entropy: 0.5848, recall: 0.9729, relative_absolute_error: 0.1127, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.4748, scimark_benchmark: 825.5282, usercpu_time_millis: 105680, usercpu_time_millis_testing: 46760, usercpu_time_millis_training: 58920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.0694, kappa: -0.0002, kb_relative_information_score: -11188.2875, mean_absolute_error: 0.8451, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.755, predictive_accuracy: 0.1549, prior_entropy: 0.5848, recall: 0.1549, relative_absolute_error: 3.5075, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.9193, root_relative_squared_error: 2.6495, scimark_benchmark: 1327.8711, usercpu_time_millis: 58700, usercpu_time_millis_testing: 10320, usercpu_time_millis_training: 48380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.9749, kappa: 0.8944, kb_relative_information_score: 2734.3508, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9749, predictive_accuracy: 0.9753, prior_entropy: 0.5848, recall: 0.9753, relative_absolute_error: 0.1602, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.4446, scimark_benchmark: 1384.4418, usercpu_time_millis: 21330, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 21310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.9174, kappa: 0.6273, kb_relative_information_score: 2007.3686, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9244, predictive_accuracy: 0.9259, prior_entropy: 0.5848, recall: 0.9259, relative_absolute_error: 0.3076, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.7846, scimark_benchmark: 1466.6185, usercpu_time_millis: 490, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, f_measure: 0.961, kappa: 0.8321, kb_relative_information_score: 2633.7447, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9619, predictive_accuracy: 0.9625, prior_entropy: 0.5848, recall: 0.9625, relative_absolute_error: 0.1557, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.5582, scimark_benchmark: 1351.788, usercpu_time_millis: 14560, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 14540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -1.1595, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1353.5686, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.9702, kappa: 0.8743, kb_relative_information_score: 2625.9401, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9702, predictive_accuracy: 0.9707, prior_entropy: 0.5848, recall: 0.9707, relative_absolute_error: 0.1943, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.4812, scimark_benchmark: 1358.4955, usercpu_time_millis: 11220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 11210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.9611, kappa: 0.8331, kb_relative_information_score: 2635.195, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9618, predictive_accuracy: 0.9625, prior_entropy: 0.5848, recall: 0.9625, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.192, root_relative_squared_error: 0.5534, scimark_benchmark: 931.2336, usercpu_time_millis: 102630, usercpu_time_millis_testing: 35430, usercpu_time_millis_training: 67200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.9688, kappa: 0.8673, kb_relative_information_score: 2755.2942, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.969, predictive_accuracy: 0.9695, prior_entropy: 0.5848, recall: 0.9695, relative_absolute_error: 0.1272, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.4861, scimark_benchmark: 940.2922, usercpu_time_millis: 441590, usercpu_time_millis_testing: 141940, usercpu_time_millis_training: 299650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.9674, kappa: 0.8626, kb_relative_information_score: 2720.3528, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9674, predictive_accuracy: 0.968, prior_entropy: 0.5848, recall: 0.968, relative_absolute_error: 0.1332, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.4953, scimark_benchmark: 940.3346, usercpu_time_millis: 888080, usercpu_time_millis_testing: 285820, usercpu_time_millis_training: 602260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.9637, kappa: 0.848, kb_relative_information_score: 2629.5205, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9635, predictive_accuracy: 0.964, prior_entropy: 0.5848, recall: 0.964, relative_absolute_error: 0.1554, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.175, root_relative_squared_error: 0.5045, scimark_benchmark: 936.6206, usercpu_time_millis: 467770, usercpu_time_millis_testing: 146080, usercpu_time_millis_training: 321690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.9258, kappa: 0.6716, kb_relative_information_score: 2140.6356, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9285, predictive_accuracy: 0.9314, prior_entropy: 0.5848, recall: 0.9314, relative_absolute_error: 0.2778, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2479, root_relative_squared_error: 0.7145, scimark_benchmark: 943.2817, usercpu_time_millis: 162850, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 162810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.9259, kappa: 0.6723, kb_relative_information_score: 2099.5305, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9284, predictive_accuracy: 0.9314, prior_entropy: 0.5848, recall: 0.9314, relative_absolute_error: 0.2898, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.254, root_relative_squared_error: 0.7321, scimark_benchmark: 941.7954, usercpu_time_millis: 87290, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 87260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.9153, kappa: 0.6212, kb_relative_information_score: 1975.4792, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.919, predictive_accuracy: 0.9228, prior_entropy: 0.5848, recall: 0.9228, relative_absolute_error: 0.3204, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.7751, scimark_benchmark: 938.4278, usercpu_time_millis: 42140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 42120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.9087, kappa: 0.5883, kb_relative_information_score: 1872.6842, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9138, predictive_accuracy: 0.918, prior_entropy: 0.5848, recall: 0.918, relative_absolute_error: 0.3469, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2777, root_relative_squared_error: 0.8002, scimark_benchmark: 876.8277, usercpu_time_millis: 21090, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 21070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.9014, kappa: 0.5538, kb_relative_information_score: 1762.3129, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9067, predictive_accuracy: 0.9122, prior_entropy: 0.5848, recall: 0.9122, relative_absolute_error: 0.3685, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.8375, scimark_benchmark: 938.9865, usercpu_time_millis: 10300, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9739, kappa: 0.8896, kb_relative_information_score: 2676.7832, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.974, predictive_accuracy: 0.9744, prior_entropy: 0.5848, recall: 0.9744, relative_absolute_error: 0.1664, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.4335, scimark_benchmark: 943.2817, usercpu_time_millis: 183660, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 183650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.9591, kappa: 0.8243, kb_relative_information_score: 2364.0023, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9599, predictive_accuracy: 0.9607, prior_entropy: 0.5848, recall: 0.9607, relative_absolute_error: 0.2775, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.503, scimark_benchmark: 931.2336, usercpu_time_millis: 21760, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 21740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.9529, kappa: 0.7936, kb_relative_information_score: 2190.6635, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9561, predictive_accuracy: 0.9558, prior_entropy: 0.5848, recall: 0.9558, relative_absolute_error: 0.3369, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.5467, scimark_benchmark: 929.566, usercpu_time_millis: 12510, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 12490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -1.1595, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 943.2817, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9271, f_measure: 0.9535, kappa: 0.8039, kb_relative_information_score: 2472.9927, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9532, predictive_accuracy: 0.9543, prior_entropy: 0.5848, recall: 0.9543, relative_absolute_error: 0.1955, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.5884, scimark_benchmark: 938.9865, usercpu_time_millis: 107890, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 107810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.9525, kappa: 0.7963, kb_relative_information_score: 2173.2041, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9529, predictive_accuracy: 0.9543, prior_entropy: 0.5848, recall: 0.9543, relative_absolute_error: 0.3168, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.5697, scimark_benchmark: 938.9865, usercpu_time_millis: 14270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 14260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9763, kappa: 0.9008, kb_relative_information_score: 2668.0126, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9762, predictive_accuracy: 0.9765, prior_entropy: 0.5848, recall: 0.9765, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.4115, scimark_benchmark: 943.2745, usercpu_time_millis: 7590, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 7480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.9352, kappa: 0.7202, kb_relative_information_score: 1744.0303, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9353, predictive_accuracy: 0.9381, prior_entropy: 0.5848, recall: 0.9381, relative_absolute_error: 0.4885, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2338, root_relative_squared_error: 0.6738, scimark_benchmark: 943.6956, usercpu_time_millis: 3310, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.9529, kappa: 0.7936, kb_relative_information_score: 2190.6635, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9561, predictive_accuracy: 0.9558, prior_entropy: 0.5848, recall: 0.9558, relative_absolute_error: 0.3369, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.5467, scimark_benchmark: 943.6956, usercpu_time_millis: 12210, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 12190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7953, kb_relative_information_score: 879.8917, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.581, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3741, root_relative_squared_error: 1.0783, scimark_benchmark: 947.9494, usercpu_time_millis: 110, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.9702, kappa: 0.8743, kb_relative_information_score: 2625.9401, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9702, predictive_accuracy: 0.9707, prior_entropy: 0.5848, recall: 0.9707, relative_absolute_error: 0.1943, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.4812, scimark_benchmark: 929.0255, usercpu_time_millis: 29710, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 29670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.9746, kappa: 0.8928, kb_relative_information_score: 2661.8079, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9746, predictive_accuracy: 0.975, prior_entropy: 0.5848, recall: 0.975, relative_absolute_error: 0.1813, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.4402, scimark_benchmark: 938.2848, usercpu_time_millis: 2886180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2886170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.8896, kappa: 0.487, kb_relative_information_score: 1253.0579, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9061, predictive_accuracy: 0.9067, prior_entropy: 0.5848, recall: 0.9067, relative_absolute_error: 0.6605, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2591, root_relative_squared_error: 0.7468, scimark_benchmark: 917.7039, usercpu_time_millis: 840, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6258, f_measure: 0.4389, kappa: 0.0907, kb_relative_information_score: -7122.0628, mean_absolute_error: 0.6075, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8628, predictive_accuracy: 0.3925, prior_entropy: 0.5848, recall: 0.3925, relative_absolute_error: 2.5215, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.7794, root_relative_squared_error: 2.2464, scimark_benchmark: 930.32, usercpu_time_millis: 2830, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, f_measure: 0.957, kappa: 0.8115, kb_relative_information_score: 2586.7665, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9609, predictive_accuracy: 0.9597, prior_entropy: 0.5848, recall: 0.9597, relative_absolute_error: 0.1671, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.5783, scimark_benchmark: 943.2817, usercpu_time_millis: 135390, usercpu_time_millis_testing: 31440, usercpu_time_millis_training: 103950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.9635, kappa: 0.8472, kb_relative_information_score: 2654.6239, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9633, predictive_accuracy: 0.9637, prior_entropy: 0.5848, recall: 0.9637, relative_absolute_error: 0.1506, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.5491, scimark_benchmark: 939.7623, usercpu_time_millis: 15840, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 15720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, build_cpu_time: 67.6528, build_memory: 473104995.2498, f_measure: 0.9536, kappa: 0.8085, kb_relative_information_score: 2449.6658, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9539, predictive_accuracy: 0.9533, prior_entropy: 0.5848, recall: 0.9533, relative_absolute_error: 0.2005, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.6072, scimark_benchmark: 1236.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7535, build_cpu_time: 1.2824, build_memory: 637634209.5615, f_measure: 0.9167, kappa: 0.6223, kb_relative_information_score: 2007.3686, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9256, predictive_accuracy: 0.9259, prior_entropy: 0.5848, recall: 0.9259, relative_absolute_error: 0.3076, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.7846, scimark_benchmark: 1236.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, build_cpu_time: 0.7644, build_memory: 474224056.4709, f_measure: 0.9591, kappa: 0.8243, kb_relative_information_score: 2604.6557, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9599, predictive_accuracy: 0.9607, prior_entropy: 0.5848, recall: 0.9607, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.5529, scimark_benchmark: 1236.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, build_cpu_time: 0.8363, build_memory: 493151393.193, f_measure: 0.9629, kappa: 0.8452, kb_relative_information_score: 2637.2575, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9628, predictive_accuracy: 0.9631, prior_entropy: 0.5848, recall: 0.9631, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.5547, scimark_benchmark: 1236.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, build_cpu_time: 6.8241, build_memory: 462137640.2123, f_measure: 0.9774, kappa: 0.9045, kb_relative_information_score: 2634.3864, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9775, predictive_accuracy: 0.9777, prior_entropy: 0.5848, recall: 0.9777, relative_absolute_error: 0.1834, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.4026, scimark_benchmark: 1236.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, build_cpu_time: 14.1015, build_memory: 536708383.0363, f_measure: 0.9773, kappa: 0.9039, kb_relative_information_score: 2648.4245, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9775, predictive_accuracy: 0.9777, prior_entropy: 0.5848, recall: 0.9777, relative_absolute_error: 0.1823, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.3975, scimark_benchmark: 1236.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, build_cpu_time: 26.2859, build_memory: 519227742.4776, f_measure: 0.9792, kappa: 0.9118, kb_relative_information_score: 2666.4507, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9794, predictive_accuracy: 0.9796, prior_entropy: 0.5848, recall: 0.9796, relative_absolute_error: 0.1801, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1349, root_relative_squared_error: 0.3889, scimark_benchmark: 1236.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, build_cpu_time: 51.6736, build_memory: 560214416.5636, f_measure: 0.9798, kappa: 0.9145, kb_relative_information_score: 2670.2566, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9801, predictive_accuracy: 0.9802, prior_entropy: 0.5848, recall: 0.9802, relative_absolute_error: 0.1803, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1345, root_relative_squared_error: 0.3877, scimark_benchmark: 1236.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, build_cpu_time: 31.5882, build_memory: 430603106.2104, f_measure: 0.9795, kappa: 0.9132, kb_relative_information_score: 2668.1289, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9797, predictive_accuracy: 0.9799, prior_entropy: 0.5848, recall: 0.9799, relative_absolute_error: 0.1802, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1346, root_relative_squared_error: 0.3881, scimark_benchmark: 1236.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, build_cpu_time: 4.8615, build_memory: 441334060.3574, f_measure: 0.7953, kb_relative_information_score: -1.1595, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1236.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, build_cpu_time: 0.0031, build_memory: 437727226.4276, f_measure: 0.7953, kb_relative_information_score: -1.1595, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1236.9974,

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