stat441.log

log - loading features
feature:  train
feature:  p.h.building
feature:  p.m.building
feature:  p.l.building
feature:  p.h.manager
feature:  p.m.manager
feature:  p.l.manager
feature:  n_photos
feature:  latitude
feature:  longitude
feature:  missing_building_id
feature:  missing_latlong
feature:  manager_id_rank
feature:  manager_id_percentile
feature:  building_id_rank
feature:  building_id_percentile
feature:  n_features
feature:  n_desc
feature:  onehot_display_address_labels
feature:  onehot_manager_id_labels
feature:  onehot_building_id_labels
feature:  onehot_clusters_latlong_labels_n1000
feature:  onehot_clusters_latlong_labels_n50
feature:  onehot_street_address_labels
feature:  onehot_clusters_latlong_labels_n500
feature:  street_address_price_mean
feature:  street_address_price_median
feature:  street_address_price_std
feature:  street_address_price_log_mean
feature:  street_address_price_log_median
feature:  street_address_price_log_std
feature:  price_log
feature:  price
feature:  street_address_price_log_diff
feature:  street_address_price_log_diff_scaled
feature:  street_address_price_diff
feature:  street_address_price_diff_scaled
feature:  street_address_price_median_diff
feature:  price_perbed
feature:  price_perbath
feature:  price_perbedbath
feature:  rooms
feature:  bath
feature:  bed
feature:  rooms_diff
feature:  rooms_ratio
feature:  created_year
feature:  created_month
feature:  created_day
feature:  created_hour
feature:  created_yday
feature:  created_yweek
feature:  created_time
(49352, 53)
(74659, 53)
log - cv phase
[0]	train-mlogloss:1.08671+4.94436e-05	test-mlogloss:1.08682+8.70492e-05
[25]	train-mlogloss:0.881248+0.000598485	test-mlogloss:0.884568+0.000906088
[50]	train-mlogloss:0.775385+0.000900583	test-mlogloss:0.781574+0.00107223
[75]	train-mlogloss:0.7156+0.00100731	test-mlogloss:0.724537+0.00159867
[100]	train-mlogloss:0.679274+0.0011727	test-mlogloss:0.691087+0.00197261
[125]	train-mlogloss:0.655408+0.00129654	test-mlogloss:0.670222+0.00239589
[150]	train-mlogloss:0.638221+0.00127314	test-mlogloss:0.655955+0.00271183
[175]	train-mlogloss:0.625243+0.0015667	test-mlogloss:0.646089+0.00276298
[200]	train-mlogloss:0.614574+0.00167023	test-mlogloss:0.638596+0.00291342
[225]	train-mlogloss:0.605528+0.00175874	test-mlogloss:0.632766+0.00312674
[250]	train-mlogloss:0.597667+0.00168187	test-mlogloss:0.627927+0.00327532
[275]	train-mlogloss:0.590543+0.00181645	test-mlogloss:0.623899+0.0031832
[300]	train-mlogloss:0.584253+0.00197049	test-mlogloss:0.620418+0.00315116
[325]	train-mlogloss:0.578211+0.00186803	test-mlogloss:0.617277+0.00317506
[350]	train-mlogloss:0.572658+0.00195778	test-mlogloss:0.614625+0.00323678
[375]	train-mlogloss:0.567427+0.00196052	test-mlogloss:0.612206+0.00315185
[400]	train-mlogloss:0.562637+0.0019359	test-mlogloss:0.610153+0.00311153