best score 0.277911933541
best parms {'C': 0.59948425031894093}
clf parms (61 features):
intercept 0.000000
user_action_count -0.491116
user_lastday_count -0.022572
user_buy_count 0.392326
item_click_count -0.171296
item_lastday_count 0.059388
item_buy_count 0.132760
cat_click_count -0.506082
cat_buy_count 0.686278
user_cat_lastday_count 0.202954
user_item_count 3.597955
user_item_lastday_count 0.353435
user_add_car -0.118741
user_add_star 0.082923
item_added_car 0.182609
item_added_start -0.035964
user_item_lasttime -0.009733
cat_add_car -0.198940
user_item_buy -0.340634
user_item_before_halfmonth_click -2.052562
user_item_before_halfmonth_star -0.244675
user_item_before_halfmonth_add_car -0.390749
user_item_before_halfmonth_buy -0.272889
user_cat_before_halfmonth_click -0.138777
user_cat_before_halfmonth_star -0.013752
user_cat_before_halfmonth_add_car 0.022383
user_cat_before_halfmonth_buy 0.031285
user_lastday_add_star 0.005999
user_cat_lastday_add_star -0.115051
user_lastday_add_cart 0.042595
user_item_lastday_add_cart 0.258971
user_cat_lastday_add_cart -0.077284
user_lastday_buy -0.128976
user_item_lastday_buy -0.652401
user_cat_lastday_buy -0.067075
geo_users_number -0.133313
user_item_click_nobuy 0.079047
user_item_cart_nobuy 0.272405
user_item_buy_again 0.707373
user_geo_f -0.323997
user_geo_9 0.571108
user_geo_t -0.265629
user_in_hot_pos_1 -0.384582
user_in_hot_pos_4 -0.114124
user_in_hot_pos_5 0.236532
user_in_hot_pos_6 -0.090071
user_cat_aveThreeDayDelta_click -0.035063
user_cat_aveThreeDayDelta_star 0.021412
user_cat_aveThreeDayDelta_add_car -0.136000
user_cat_aveThreeDayDelta_buy 0.850714
user_item_aveThreeDayDelta_click -0.609260
user_item_aveThreeDayDelta_star -0.404116
user_item_aveThreeDayDelta_add_car -0.883005
user_item_aveThreeDayDelta_buy 0.062509
usergeo_item_lastday_click -0.006038
usergeo_item_lastday_star 0.036551
usergeo_item_lastday_cart 0.089241
usergeo_item_lastday_buy -0.002701
usergeo_item_before_lastday_click 0.057396
usergeo_item_before_lastday_star 0.008312
usergeo_item_before_lastday_cart -0.035177
usergeo_item_before_lastday_buy -0.016065
F1 P R
29.21 57.46 19.58
F T
N 123062 97
P 538 131
===== for train =====
F T
N -- 2277
P 1802 131
F1 P R
6.04 5.44 6.78
===== for test =====
F T
N -- 1449
P 1220 99
F1 P R
6.91 6.40 7.51
===== for online test =====
F T
N -- 233
P 179 13
F1 P R
5.94 5.28 6.77
best score 0.312886235064
best parms {'C': 12.915496650148826}
clf parms (107 features):
intercept 0.000000
user_action_count -0.473741
user_lastday_count -0.028676
user_buy_count 0.410224
item_click_count -0.209853
item_lastday_count 0.050654
item_buy_count 0.240809
cat_click_count -0.552834
cat_buy_count 0.678239
user_cat_count -0.074405
user_cat_lastday_count 0.277196
user_item_count 4.274146
user_item_lastday_count -0.474213
user_add_car -0.131077
user_add_star 0.086025
item_added_car 0.192027
item_added_start -0.053648
user_item_lasttime 0.022611
cat_add_car -0.175384
cat_add_star 0.034224
user_item_buy -0.291233
user_item_lastweek_click 0.000000
user_item_lastweek_star 0.000000
user_item_lastweek_add_car -0.060096
user_item_lastweek_buy 0.000000
user_item_halfmonth_click 0.000000
user_item_halfmonth_star -0.018854
user_item_halfmonth_add_car -0.054151
user_item_halfmonth_buy 0.000000
user_item_before_halfmonth_click -2.480688
user_item_before_halfmonth_star -0.994136
user_item_before_halfmonth_add_car -0.670228
user_item_before_halfmonth_buy -0.340812
user_cat_lastweek_click -0.033765
user_cat_lastweek_star 0.000000
user_cat_lastweek_add_car -0.005256
user_cat_lastweek_buy 0.000000
user_cat_halfmonth_click 0.000000
user_cat_halfmonth_star 0.042589
user_cat_halfmonth_add_car 0.000000
user_cat_halfmonth_buy -0.212289
user_cat_before_halfmonth_click -0.087891
user_cat_before_halfmonth_star 0.005812
user_cat_before_halfmonth_add_car 0.038832
user_cat_before_halfmonth_buy 0.035693
user_lastday_add_star -0.000834
user_item_lastday_add_star -1.010118
user_cat_lastday_add_star 0.033509
user_lastday_add_cart 0.035057
user_item_lastday_add_cart -0.967920
user_cat_lastday_add_cart -0.279977
user_lastday_buy -0.120600
user_item_lastday_buy 1.549140
user_cat_lastday_buy -0.109283
geo_users_number -0.258396
user_item_lastday_click_nobuy 1.387573
user_item_lastday_star_nobuy 1.435649
user_item_lastday_cart_nobuy 1.581553
user_item_lastday_buy_again -0.626029
user_cat_lastday_click_nobuy -0.215487
user_cat_lastday_star_nobuy -0.384804
user_cat_lastday_cart_nobuy 0.208286
user_cat_lastday_buy_again -0.108575
item_convert_rate -2.284492
user_convert_rate 0.000000
user_item_click_nobuy 0.100066
user_item_star_nobuy 0.881918
user_item_cart_nobuy 0.471652
user_item_buy_again 0.820131
user_geo_b -1.588277
user_geo_f -0.880851
user_geo_i 0.000000
user_geo_m -0.568337
user_geo_o -0.361864
user_geo_5 0.000000
user_geo_4 -0.572975
user_geo_v 0.000000
user_geo_9 0.387018
user_geo_t -1.734773
item_geo_9 0.775584
item_geo_4 0.000000
item_geo_m 0.000000
item_geo_t 0.000000
item_geo_f 0.000000
user_item_geo_distance 0.413331
user_in_hot_pos_1 -0.589134
user_in_hot_pos_2 0.374323
user_in_hot_pos_3 -0.111559
user_in_hot_pos_4 -0.119732
user_in_hot_pos_5 0.474884
user_in_hot_pos_6 -0.196942
user_in_hot_pos_7 -0.430408
user_cat_aveThreeDayDelta_click -0.024095
user_cat_aveThreeDayDelta_star 0.048577
user_cat_aveThreeDayDelta_add_car -0.177515
user_cat_aveThreeDayDelta_buy 0.873860
user_item_aveThreeDayDelta_click -0.635569
user_item_aveThreeDayDelta_star -0.507749
user_item_aveThreeDayDelta_add_car -0.853999
user_item_aveThreeDayDelta_buy 0.084708
usergeo_item_lastday_click -0.010553
usergeo_item_lastday_star -0.004316
usergeo_item_lastday_cart 0.080044
usergeo_item_lastday_buy 0.073256
usergeo_item_before_lastday_click 0.057150
usergeo_item_before_lastday_star 0.030250
usergeo_item_before_lastday_cart -0.015821
usergeo_item_before_lastday_buy -0.065877
F1 P R
31.43 59.34 21.38
F T
N 123061 98
P 526 143
===== for train =====
F T
N -- 2314
P 1790 143
F1 P R
6.51 5.82 7.40
===== for test =====
F T
N -- 1486
P 1216 103
F1 P R
7.08 6.48 7.81
===== for online test =====
F T
N -- 239
P 182 10
F1 P R
4.54 4.02 5.21
best score 0.321907470003
best parms {'rf__n_estimators': 100, 'rf__max_depth': 10, 'rf__min_samples_leaf
: 2, 'rf__max_features': 10}
Pipeline(steps=[('rf', RandomForestClassifier(bootstrap=True, class_weight=None
criterion='gini',
max_depth=10, max_features=10, max_leaf_nodes=None,
min_samples_leaf=2, min_samples_split=2,
min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=10,
oob_score=False, random_state=None, verbose=0,
warm_start=False))])
F1 P R
56.99 99.63 39.91
F T
N 86261 1
P 402 267
===== for train =====
F T
N -- 1783
P 1666 267
F1 P R
13.41 13.02 13.81
===== for test =====
F T
N -- 1215
P 1206 113
F1 P R
8.54 8.51 8.57
===== for online test =====
F T
N -- 164
P 178 14
F1 P R
7.57 7.87 7.29