mean_fit_time mean_score_time mean_test_score mean_train_score \
0 0.001715 0.000678 0.393190 0.473731
1 0.000878 0.000348 0.631778 0.737366
2 0.000893 0.000284 0.762798 0.833799
3 0.000933 0.000291 0.782855 0.879338
4 0.001024 0.000307 0.772834 0.907058
5 0.001064 0.000288 0.767216 0.930713
6 0.001121 0.000295 0.750759 0.947671
7 0.001181 0.000308 0.741271 0.960571
8 0.001272 0.000315 0.720534 0.973348
9 0.001546 0.000354 0.705663 0.981873
param_max_depth params rank_test_score split0_test_score \
0 1 {u'max_depth': 1} 10 0.194234
1 2 {u'max_depth': 2} 9 0.471609
2 3 {u'max_depth': 3} 4 0.717627
3 4 {u'max_depth': 4} 1 0.796158
4 5 {u'max_depth': 5} 2 0.836390
5 6 {u'max_depth': 6} 3 0.823551
6 7 {u'max_depth': 7} 5 0.825937
7 8 {u'max_depth': 8} 6 0.826834
8 9 {u'max_depth': 9} 7 0.818750
9 10 {u'max_depth': 10} 8 0.818110
split0_train_score split1_test_score ... split7_test_score \
0 0.469160 0.415338 ... 0.267559
1 0.741135 0.710609 ... 0.387501
2 0.823960 0.822457 ... 0.623715
3 0.882243 0.809065 ... 0.567373
4 0.905933 0.814471 ... 0.473878
5 0.928771 0.765555 ... 0.493646
6 0.948229 0.759405 ... 0.455188
7 0.963058 0.721070 ... 0.385030
8 0.974069 0.692773 ... 0.266900
9 0.984353 0.709937 ... 0.136419
split7_train_score split8_test_score split8_train_score \
0 0.483259 0.471616 0.471746
1 0.746803 0.597150 0.746662
2 0.850816 0.682798 0.854881
3 0.889232 0.737466 0.892401
4 0.912776 0.669542 0.921774
5 0.935707 0.639670 0.940745
6 0.951270 0.664265 0.954095
7 0.964522 0.677450 0.964230
8 0.977366 0.658306 0.977137
9 0.986401 0.653683 0.983786
split9_test_score split9_train_score std_fit_time std_score_time \
0 0.520221 0.463880 0.000756 0.000409
1 0.712387 0.733332 0.000146 0.000157
2 0.847253 0.822417 0.000064 0.000013
3 0.847146 0.868057 0.000052 0.000019
4 0.873941 0.892596 0.000098 0.000038
5 0.901387 0.916308 0.000061 0.000009
6 0.913028 0.938554 0.000055 0.000020
7 0.897415 0.951154 0.000044 0.000036
8 0.886351 0.965189 0.000084 0.000025
9 0.862870 0.973816 0.000620 0.000080
std_test_score std_train_score
0 0.131937 0.008109
1 0.137609 0.007707
2 0.080297 0.011256
3 0.090450 0.008642
4 0.119410 0.007691
5 0.118918 0.006353
6 0.132210 0.004264
7 0.144977 0.004495
8 0.164946 0.003695
9 0.204702 0.003648
[10 rows x 31 columns]
Trial 1: $391,183.33
mean_fit_time mean_score_time mean_test_score mean_train_score \
0 0.000903 0.000308 0.310136 0.454160
1 0.000850 0.000306 0.590313 0.717310
2 0.000888 0.000298 0.751535 0.826676
3 0.001014 0.000337 0.794433 0.874191
4 0.001010 0.000302 0.776155 0.898498
5 0.001476 0.000413 0.775762 0.919842
6 0.001494 0.000453 0.745552 0.942503
7 0.001215 0.000311 0.744555 0.960146
8 0.001296 0.000321 0.722788 0.973923
9 0.001315 0.000311 0.707894 0.983767
param_max_depth params rank_test_score split0_test_score \
0 1 {u'max_depth': 1} 10 0.210119
1 2 {u'max_depth': 2} 9 0.500780
2 3 {u'max_depth': 3} 4 0.679404
3 4 {u'max_depth': 4} 1 0.767350
4 5 {u'max_depth': 5} 2 0.770766
5 6 {u'max_depth': 6} 3 0.802380
6 7 {u'max_depth': 7} 5 0.727040
7 8 {u'max_depth': 8} 6 0.721435
8 9 {u'max_depth': 9} 7 0.678070
9 10 {u'max_depth': 10} 8 0.611838
split0_train_score split1_test_score ... split7_test_score \
0 0.462134 0.472819 ... 0.496656
1 0.716903 0.772209 ... 0.749931
2 0.830980 0.899792 ... 0.846707
3 0.876156 0.918192 ... 0.860847
4 0.898130 0.909956 ... 0.847826
5 0.919921 0.904637 ... 0.816116
6 0.940778 0.901450 ... 0.812254
7 0.958685 0.875203 ... 0.845093
8 0.977113 0.864551 ... 0.861182
9 0.985665 0.856599 ... 0.838545
split7_train_score split8_test_score split8_train_score \
0 0.439799 0.435258 0.450383
1 0.710955 0.725934 0.707221
2 0.818910 0.854603 0.820856
3 0.866256 0.820743 0.870280
4 0.891492 0.842257 0.896322
5 0.910289 0.754446 0.917420
6 0.933844 0.743192 0.943491
7 0.955788 0.757838 0.961424
8 0.969384 0.725337 0.977760
9 0.979528 0.747832 0.987669
split9_test_score split9_train_score std_fit_time std_score_time \
0 0.285494 0.464314 0.000205 0.000034
1 0.542213 0.723917 0.000073 0.000059
2 0.757253 0.828578 0.000054 0.000019
3 0.773894 0.875598 0.000135 0.000129
4 0.699591 0.901427 0.000054 0.000019
5 0.682354 0.923013 0.000316 0.000102
6 0.675784 0.945123 0.000316 0.000187
7 0.663039 0.959366 0.000081 0.000022
8 0.613180 0.974304 0.000142 0.000038
9 0.599807 0.986709 0.000115 0.000024
std_test_score std_train_score
0 0.232505 0.010089
1 0.223924 0.011716
2 0.157317 0.007172
3 0.107188 0.004957
4 0.110750 0.004018
5 0.100340 0.003981
6 0.118202 0.003761
7 0.090496 0.003150
8 0.118361 0.003053
9 0.110339 0.003687
[10 rows x 31 columns]
Trial 2: $411,417.39
mean_fit_time mean_score_time mean_test_score mean_train_score \
0 0.000861 0.000311 0.284290 0.463208
1 0.000887 0.000309 0.591132 0.729603
2 0.000883 0.000310 0.724765 0.822991
3 0.001009 0.000303 0.777001 0.873201
4 0.001116 0.000331 0.739169 0.904909
5 0.001141 0.000303 0.708693 0.930467
6 0.001489 0.000436 0.695682 0.950848
7 0.001334 0.000355 0.669941 0.964398
8 0.001238 0.000293 0.649632 0.975578
9 0.001308 0.000309 0.623227 0.986975
param_max_depth params rank_test_score split0_test_score \
0 1 {u'max_depth': 1} 10 0.265810
1 2 {u'max_depth': 2} 9 0.543066
2 3 {u'max_depth': 3} 3 0.656905
3 4 {u'max_depth': 4} 1 0.736697
4 5 {u'max_depth': 5} 2 0.655893
5 6 {u'max_depth': 6} 4 0.651727
6 7 {u'max_depth': 7} 5 0.673899
7 8 {u'max_depth': 8} 6 0.670109
8 9 {u'max_depth': 9} 7 0.669152
9 10 {u'max_depth': 10} 8 0.650169
split0_train_score split1_test_score ... split7_test_score \
0 0.473114 0.293255 ... 0.153978
1 0.737295 0.705953 ... 0.487443
2 0.821185 0.729958 ... 0.618893
3 0.874186 0.803507 ... 0.746409
4 0.908080 0.771514 ... 0.821793
5 0.933313 0.771249 ... 0.776398
6 0.948397 0.724990 ... 0.763605
7 0.962913 0.727588 ... 0.732713
8 0.978919 0.680689 ... 0.675423
9 0.988581 0.625765 ... 0.677270
split7_train_score split8_test_score split8_train_score \
0 0.467318 0.439478 0.449972
1 0.730037 0.641108 0.730154
2 0.827069 0.743917 0.827837
3 0.872653 0.771163 0.874649
4 0.902459 0.712062 0.906072
5 0.929379 0.663627 0.932952
6 0.949116 0.615935 0.960527
7 0.959849 0.648065 0.972976
8 0.972046 0.664410 0.981652
9 0.986251 0.624186 0.988465
split9_test_score split9_train_score std_fit_time std_score_time \
0 0.043587 0.473614 0.000147 0.000051
1 0.308494 0.739301 0.000118 0.000054
2 0.653696 0.822551 0.000067 0.000038
3 0.622640 0.876750 0.000159 0.000024
4 0.449398 0.913945 0.000193 0.000071
5 0.389407 0.937978 0.000119 0.000022
6 0.414382 0.953313 0.000318 0.000148
7 0.376905 0.967112 0.000307 0.000152
8 0.293160 0.979172 0.000101 0.000013
9 0.140886 0.991711 0.000109 0.000021
std_test_score std_train_score
0 0.145032 0.012991
1 0.128555 0.009404
2 0.079010 0.006957
3 0.072564 0.004842
4 0.117046 0.007052
5 0.133885 0.006856
6 0.125648 0.007336
7 0.129401 0.007384
8 0.146922 0.005657
9 0.181655 0.003217
[10 rows x 31 columns]
Trial 3: $415,800.00
mean_fit_time mean_score_time mean_test_score mean_train_score \
0 0.000846 0.000301 0.311342 0.466165
1 0.000890 0.000302 0.665772 0.740494
2 0.000906 0.000289 0.713955 0.828667
3 0.000992 0.000315 0.730672 0.882668
4 0.001039 0.000314 0.719068 0.908551
5 0.001226 0.000366 0.705789 0.929668
6 0.001375 0.000357 0.719220 0.946685
7 0.001185 0.000299 0.689662 0.960283
8 0.001444 0.000362 0.650559 0.971708
9 0.001288 0.000300 0.653262 0.982084
param_max_depth params rank_test_score split0_test_score \
0 1 {u'max_depth': 1} 10 0.278605
1 2 {u'max_depth': 2} 7 0.567184
2 3 {u'max_depth': 3} 4 0.700169
3 4 {u'max_depth': 4} 1 0.775527
4 5 {u'max_depth': 5} 3 0.785119
5 6 {u'max_depth': 6} 5 0.751756
6 7 {u'max_depth': 7} 2 0.759014
7 8 {u'max_depth': 8} 6 0.771005
8 9 {u'max_depth': 9} 9 0.729843
9 10 {u'max_depth': 10} 8 0.741496
split0_train_score split1_test_score ... split7_test_score \
0 0.472874 0.398334 ... 0.116998
1 0.749554 0.715457 ... 0.565408
2 0.834831 0.660987 ... 0.593001
3 0.887656 0.655981 ... 0.681177
4 0.907093 0.637453 ... 0.709198
5 0.925649 0.646655 ... 0.733547
6 0.943274 0.637299 ... 0.766633
7 0.958479 0.621481 ... 0.730207
8 0.967843 0.618127 ... 0.713649
9 0.979355 0.603927 ... 0.714759
split7_train_score split8_test_score split8_train_score \
0 0.484773 0.473678 0.450116
1 0.749900 0.704611 0.734759
2 0.835832 0.802374 0.817246
3 0.890609 0.834427 0.872508
4 0.918178 0.749769 0.903739
5 0.936019 0.771798 0.924688
6 0.952296 0.775182 0.940969
7 0.966730 0.780085 0.958998
8 0.975616 0.672051 0.971143
9 0.984575 0.705028 0.982474
split9_test_score split9_train_score std_fit_time std_score_time \
0 0.328822 0.470407 0.000249 0.000030
1 0.656162 0.743812 0.000167 0.000033
2 0.763536 0.825098 0.000096 0.000017
3 0.766357 0.882471 0.000149 0.000057
4 0.788388 0.907366 0.000079 0.000049
5 0.745191 0.928778 0.000245 0.000147
6 0.703348 0.947040 0.000311 0.000072
7 0.716009 0.962921 0.000046 0.000016
8 0.683496 0.972486 0.000240 0.000077
9 0.703697 0.981617 0.000102 0.000018
std_test_score std_train_score
0 0.119221 0.012669
1 0.066597 0.006696
2 0.094332 0.006379
3 0.113117 0.005457
4 0.104609 0.005232
5 0.115441 0.005619
6 0.118200 0.004610
7 0.136362 0.004764
8 0.122618 0.004174
9 0.128430 0.003103
[10 rows x 31 columns]
Trial 4: $420,622.22
mean_fit_time mean_score_time mean_test_score mean_train_score \
0 0.000834 0.000300 0.387621 0.463021
1 0.000889 0.000311 0.652468 0.728764
2 0.000898 0.000301 0.725595 0.814739
3 0.000976 0.000303 0.757313 0.861965
4 0.001009 0.000299 0.749530 0.890038
5 0.001154 0.000319 0.753544 0.914886
6 0.001519 0.000439 0.694475 0.938796
7 0.001520 0.000373 0.683578 0.956161
8 0.001234 0.000335 0.658094 0.971236
9 0.001372 0.000312 0.638901 0.980829
param_max_depth params rank_test_score split0_test_score \
0 1 {u'max_depth': 1} 10 0.384088
1 2 {u'max_depth': 2} 8 0.688755
2 3 {u'max_depth': 3} 4 0.827556
3 4 {u'max_depth': 4} 1 0.866588
4 5 {u'max_depth': 5} 3 0.873182
5 6 {u'max_depth': 6} 2 0.865659
6 7 {u'max_depth': 7} 5 0.878550
7 8 {u'max_depth': 8} 6 0.835915
8 9 {u'max_depth': 9} 7 0.825521
9 10 {u'max_depth': 10} 9 0.840697
split0_train_score split1_test_score ... split7_test_score \
0 0.452975 0.273285 ... 0.345637
1 0.725017 0.688703 ... 0.590021
2 0.813401 0.798573 ... 0.708735
3 0.857468 0.763334 ... 0.659508
4 0.886493 0.799370 ... 0.670420
5 0.919610 0.780913 ... 0.679271
6 0.938504 0.781317 ... 0.664390
7 0.956832 0.719049 ... 0.599928
8 0.970890 0.657739 ... 0.575105
9 0.982374 0.594056 ... 0.564828
split7_train_score split8_test_score split8_train_score \
0 0.460046 0.459013 0.460882
1 0.736989 0.751806 0.720219
2 0.827812 0.782939 0.801084
3 0.875774 0.813629 0.852994
4 0.901122 0.830103 0.888265
5 0.926930 0.842000 0.915782
6 0.946800 0.853972 0.945790
7 0.966312 0.809219 0.958358
8 0.978033 0.786111 0.968620
9 0.988612 0.806374 0.974651
split9_test_score split9_train_score std_fit_time std_score_time \
0 0.388579 0.470304 0.000193 0.000034
1 0.740152 0.722655 0.000124 0.000056
2 0.809892 0.814899 0.000075 0.000033
3 0.816820 0.861828 0.000069 0.000024
4 0.831350 0.886708 0.000069 0.000021
5 0.845974 0.911452 0.000114 0.000043
6 0.847183 0.939495 0.000429 0.000197
7 0.811818 0.954067 0.000604 0.000139
8 0.833269 0.970350 0.000099 0.000112
9 0.813739 0.979908 0.000246 0.000028
std_test_score std_train_score
0 0.102129 0.009457
1 0.092311 0.006256
2 0.119136 0.007882
3 0.091416 0.006740
4 0.116861 0.004515
5 0.088805 0.005929
6 0.156911 0.005091
7 0.118368 0.004545
8 0.171558 0.003055
9 0.187732 0.003511
[10 rows x 31 columns]
Trial 5: $413,334.78
mean_fit_time mean_score_time mean_test_score mean_train_score \
0 0.001042 0.000330 0.361176 0.466220
1 0.000847 0.000298 0.604993 0.718059
2 0.000937 0.000302 0.705710 0.810835
3 0.001036 0.000315 0.777593 0.861688
4 0.001011 0.000295 0.747146 0.891674
5 0.001080 0.000300 0.728821 0.919992
6 0.001269 0.000396 0.702515 0.941605
7 0.001326 0.000319 0.683665 0.958854
8 0.001310 0.000310 0.689327 0.972114
9 0.001370 0.000347 0.679553 0.981763
param_max_depth params rank_test_score split0_test_score \
0 1 {u'max_depth': 1} 10 -0.073687
1 2 {u'max_depth': 2} 9 0.449954
2 3 {u'max_depth': 3} 4 0.614706
3 4 {u'max_depth': 4} 1 0.643288
4 5 {u'max_depth': 5} 2 0.605597
5 6 {u'max_depth': 6} 3 0.587887
6 7 {u'max_depth': 7} 5 0.538297
7 8 {u'max_depth': 8} 7 0.499959
8 9 {u'max_depth': 9} 6 0.532102
9 10 {u'max_depth': 10} 8 0.480434
split0_train_score split1_test_score ... split7_test_score \
0 0.463216 0.554913 ... 0.432296
1 0.716189 0.705408 ... 0.540063
2 0.805416 0.849209 ... 0.628525
3 0.867852 0.841833 ... 0.731969
4 0.892920 0.782324 ... 0.705585
5 0.913731 0.735357 ... 0.703826
6 0.936092 0.808940 ... 0.667884
7 0.955259 0.772535 ... 0.666041
8 0.972707 0.819316 ... 0.631750
9 0.983542 0.810459 ... 0.615450
split7_train_score split8_test_score split8_train_score \
0 0.468080 0.446213 0.467832
1 0.729791 0.722804 0.712662
2 0.822580 0.816829 0.804646
3 0.872094 0.840685 0.853767
4 0.899811 0.827882 0.881137
5 0.928465 0.746406 0.909277
6 0.949163 0.760947 0.932796
7 0.968554 0.718877 0.953753
8 0.979058 0.762326 0.969333
9 0.987165 0.770299 0.978048
split9_test_score split9_train_score std_fit_time std_score_time \
0 0.310872 0.471431 0.000470 0.000059
1 0.481227 0.725851 0.000090 0.000039
2 0.589678 0.816061 0.000118 0.000043
3 0.825546 0.859642 0.000181 0.000066
4 0.725896 0.892800 0.000052 0.000017
5 0.712445 0.925993 0.000064 0.000024
6 0.650118 0.944740 0.000215 0.000200
7 0.661940 0.964662 0.000218 0.000036
8 0.616852 0.976696 0.000154 0.000033
9 0.630643 0.984862 0.000176 0.000147
std_test_score std_train_score
0 0.166050 0.006654
1 0.141652 0.007571
2 0.101718 0.008426
3 0.063481 0.006671
4 0.066115 0.005882
5 0.068574 0.005776
6 0.087001 0.005008
7 0.077634 0.004784
8 0.083308 0.003333
9 0.095707 0.003210
[10 rows x 31 columns]
Trial 6: $411,931.58
mean_fit_time mean_score_time mean_test_score mean_train_score \
0 0.000843 0.000297 0.388746 0.493674
1 0.000899 0.000301 0.664215 0.755924
2 0.001058 0.000301 0.730673 0.834095
3 0.000990 0.000329 0.788214 0.879674
4 0.001105 0.000333 0.762646 0.910109
5 0.001188 0.000315 0.752696 0.931152
6 0.001833 0.000428 0.725495 0.948454
7 0.001731 0.000532 0.732375 0.965000
8 0.001357 0.000330 0.711942 0.975663
9 0.001552 0.000365 0.706121 0.983749
param_max_depth params rank_test_score split0_test_score \
0 1 {u'max_depth': 1} 10 0.237121
1 2 {u'max_depth': 2} 9 0.482485
2 3 {u'max_depth': 3} 5 0.649260
3 4 {u'max_depth': 4} 1 0.761851
4 5 {u'max_depth': 5} 2 0.756705
5 6 {u'max_depth': 6} 3 0.701515
6 7 {u'max_depth': 7} 6 0.681438
7 8 {u'max_depth': 8} 4 0.663872
8 9 {u'max_depth': 9} 7 0.649321
9 10 {u'max_depth': 10} 8 0.657362
split0_train_score split1_test_score ... split7_test_score \
0 0.499565 0.418301 ... 0.382052
1 0.765908 0.702356 ... 0.667657
2 0.834852 0.734237 ... 0.630032
3 0.879314 0.771042 ... 0.765592
4 0.910099 0.775058 ... 0.637504
5 0.928961 0.796500 ... 0.623742
6 0.947146 0.758239 ... 0.620902
7 0.965693 0.777598 ... 0.655606
8 0.974467 0.798513 ... 0.568463
9 0.980394 0.792100 ... 0.533266
split7_train_score split8_test_score split8_train_score \
0 0.500281 0.401727 0.495737
1 0.762075 0.700339 0.757123
2 0.838272 0.745277 0.833835
3 0.885546 0.773267 0.876003
4 0.908673 0.790408 0.914379
5 0.929480 0.758889 0.935423
6 0.945491 0.730135 0.952179
7 0.963804 0.735977 0.966631
8 0.974718 0.711327 0.980053
9 0.983084 0.682010 0.988879
split9_test_score split9_train_score std_fit_time std_score_time \
0 0.459356 0.492747 0.000165 0.000029
1 0.686457 0.760293 0.000229 0.000035
2 0.765833 0.835764 0.000173 0.000021
3 0.768569 0.879881 0.000072 0.000065
4 0.806708 0.916027 0.000172 0.000064
5 0.799908 0.934929 0.000176 0.000039
6 0.794363 0.951459 0.000682 0.000136
7 0.793589 0.968453 0.000519 0.000336
8 0.791985 0.977330 0.000161 0.000065
9 0.771209 0.984776 0.000242 0.000093
std_test_score std_train_score
0 0.113746 0.008845
1 0.085687 0.007885
2 0.058388 0.003964
3 0.030455 0.004672
4 0.056412 0.005166
5 0.066067 0.004969
6 0.073249 0.005119
7 0.069941 0.004798
8 0.089712 0.004195
9 0.089272 0.003772
[10 rows x 31 columns]
Trial 7: $399,663.16
mean_fit_time mean_score_time mean_test_score mean_train_score \
0 0.001009 0.000329 0.339337 0.462622
1 0.001048 0.000347 0.613596 0.716349
2 0.001858 0.001043 0.717293 0.814447
3 0.001644 0.000445 0.764586 0.861305
4 0.001583 0.000480 0.758869 0.890116
5 0.001798 0.000495 0.735347 0.918907
6 0.001661 0.000467 0.734269 0.941932
7 0.001704 0.000469 0.705220 0.960117
8 0.001627 0.000423 0.699323 0.975233
9 0.001947 0.000485 0.696411 0.985248
param_max_depth params rank_test_score split0_test_score \
0 1 {u'max_depth': 1} 10 0.490164
1 2 {u'max_depth': 2} 9 0.635609
2 3 {u'max_depth': 3} 5 0.744899
3 4 {u'max_depth': 4} 1 0.788493
4 5 {u'max_depth': 5} 2 0.829350
5 6 {u'max_depth': 6} 3 0.794606
6 7 {u'max_depth': 7} 4 0.750961
7 8 {u'max_depth': 8} 6 0.712482
8 9 {u'max_depth': 9} 7 0.761032
9 10 {u'max_depth': 10} 8 0.726483
split0_train_score split1_test_score ... split7_test_score \
0 0.453781 0.426688 ... 0.332552
1 0.704286 0.609303 ... 0.498158
2 0.819533 0.735504 ... 0.783096
3 0.867081 0.796597 ... 0.841991
4 0.890474 0.696754 ... 0.830176
5 0.919012 0.688930 ... 0.698188
6 0.941120 0.732675 ... 0.695078
7 0.959617 0.704754 ... 0.722861
8 0.972318 0.674492 ... 0.742164
9 0.983602 0.692510 ... 0.711103
split7_train_score split8_test_score split8_train_score \
0 0.466562 0.236459 0.464919
1 0.722641 0.691006 0.728155
2 0.808940 0.743442 0.820208
3 0.855437 0.768066 0.867043
4 0.883155 0.695041 0.898916
5 0.911932 0.682866 0.929664
6 0.936120 0.695032 0.951671
7 0.952695 0.634945 0.969178
8 0.970076 0.596006 0.979995
9 0.983280 0.590996 0.989109
split9_test_score split9_train_score std_fit_time std_score_time \
0 0.404285 0.453689 0.000267 0.000060
1 0.683470 0.725003 0.000222 0.000094
2 0.768686 0.821126 0.001910 0.001528
3 0.757520 0.870777 0.000394 0.000099
4 0.750693 0.899928 0.000276 0.000129
5 0.772845 0.924708 0.000512 0.000115
6 0.735519 0.950363 0.000343 0.000141
7 0.780131 0.968007 0.000323 0.000179
8 0.719244 0.980670 0.000249 0.000117
9 0.702911 0.987300 0.000284 0.000128
std_test_score std_train_score
0 0.111059 0.006304
1 0.081193 0.007497
2 0.077359 0.006499
3 0.070565 0.006004
4 0.076840 0.006040
5 0.082276 0.005978
6 0.049945 0.007015
7 0.109861 0.005777
8 0.090535 0.003517
9 0.071030 0.002204
[10 rows x 31 columns]
Trial 8: $407,232.00
mean_fit_time mean_score_time mean_test_score mean_train_score \
0 0.001344 0.000495 0.424432 0.466548
1 0.001226 0.000466 0.656331 0.721694
2 0.001410 0.000450 0.752056 0.820508
3 0.001389 0.000477 0.781153 0.869823
4 0.001817 0.000512 0.747024 0.898637
5 0.001558 0.000474 0.723929 0.922907
6 0.001567 0.000451 0.719095 0.943675
7 0.001622 0.000421 0.692050 0.959947
8 0.001631 0.000452 0.679392 0.972362
9 0.001698 0.000384 0.652586 0.980936
param_max_depth params rank_test_score split0_test_score \
0 1 {u'max_depth': 1} 10 0.505282
1 2 {u'max_depth': 2} 8 0.700016
2 3 {u'max_depth': 3} 2 0.768438
3 4 {u'max_depth': 4} 1 0.761214
4 5 {u'max_depth': 5} 3 0.769856
5 6 {u'max_depth': 6} 4 0.775726
6 7 {u'max_depth': 7} 5 0.737545
7 8 {u'max_depth': 8} 6 0.688439
8 9 {u'max_depth': 9} 7 0.708150
9 10 {u'max_depth': 10} 9 0.683391
split0_train_score split1_test_score ... split7_test_score \
0 0.461015 0.371609 ... 0.341878
1 0.722964 0.646119 ... 0.645604
2 0.825734 0.827089 ... 0.761661
3 0.867819 0.847146 ... 0.755540
4 0.897147 0.829430 ... 0.701890
5 0.929187 0.794186 ... 0.761287
6 0.950756 0.759218 ... 0.754660
7 0.967313 0.783349 ... 0.637510
8 0.975111 0.756059 ... 0.769925
9 0.981685 0.735910 ... 0.624039
split7_train_score split8_test_score split8_train_score \
0 0.470645 0.506933 0.461173
1 0.726406 0.722089 0.719966
2 0.814009 0.758390 0.826435
3 0.868167 0.692706 0.882657
4 0.894096 0.690997 0.910079
5 0.918810 0.632871 0.931725
6 0.940403 0.649276 0.950704
7 0.956019 0.638494 0.966645
8 0.969562 0.642226 0.976098
9 0.979153 0.633599 0.985731
split9_test_score split9_train_score std_fit_time std_score_time \
0 0.438253 0.463718 0.000286 0.000136
1 0.642030 0.718300 0.000223 0.000152
2 0.768781 0.817209 0.000327 0.000142
3 0.868658 0.868802 0.000270 0.000097
4 0.840720 0.898037 0.000754 0.000219
5 0.824471 0.921053 0.000305 0.000121
6 0.837162 0.940947 0.000201 0.000136
7 0.812171 0.957721 0.000309 0.000105
8 0.773319 0.974406 0.000134 0.000153
9 0.726399 0.980791 0.000182 0.000034
std_test_score std_train_score
0 0.080368 0.006867
1 0.076972 0.006580
2 0.072080 0.005208
3 0.057146 0.005728
4 0.089218 0.005824
5 0.089301 0.005406
6 0.094929 0.004341
7 0.098898 0.004315
8 0.105500 0.002970
9 0.088945 0.003654
[10 rows x 31 columns]
Trial 9: $402,531.82
mean_fit_time mean_score_time mean_test_score mean_train_score \
0 0.001197 0.000380 0.327544 0.432948
1 0.001134 0.000441 0.645203 0.722537
2 0.001219 0.000437 0.746540 0.818562
3 0.001410 0.000454 0.787722 0.867054
4 0.001648 0.000477 0.776028 0.898615
5 0.001827 0.000554 0.734413 0.924149
6 0.001712 0.000509 0.711634 0.945658
7 0.001918 0.000494 0.727869 0.959833
8 0.002168 0.000512 0.688703 0.971504
9 0.001920 0.000534 0.684689 0.981720
param_max_depth params rank_test_score split0_test_score \
0 1 {u'max_depth': 1} 10 0.329557
1 2 {u'max_depth': 2} 9 0.638025
2 3 {u'max_depth': 3} 3 0.767708
3 4 {u'max_depth': 4} 1 0.831180
4 5 {u'max_depth': 5} 2 0.813110
5 6 {u'max_depth': 6} 4 0.824822
6 7 {u'max_depth': 7} 6 0.760012
7 8 {u'max_depth': 8} 5 0.744446
8 9 {u'max_depth': 9} 7 0.675345
9 10 {u'max_depth': 10} 8 0.599643
split0_train_score split1_test_score ... split7_test_score \
0 0.437292 0.450344 ... 0.381239
1 0.728032 0.777953 ... 0.627461
2 0.818748 0.840699 ... 0.671320
3 0.864367 0.872333 ... 0.700030
4 0.891803 0.836453 ... 0.775809
5 0.912811 0.826296 ... 0.781772
6 0.945236 0.803817 ... 0.796923
7 0.962296 0.813590 ... 0.788288
8 0.976009 0.799514 ... 0.730211
9 0.985700 0.754903 ... 0.646487
split7_train_score split8_test_score split8_train_score \
0 0.437358 0.510065 0.422747
1 0.724321 0.746006 0.717614
2 0.820646 0.825148 0.821289
3 0.868384 0.883118 0.866220
4 0.895304 0.869599 0.901244
5 0.925612 0.835118 0.924793
6 0.947003 0.657939 0.948783
7 0.967575 0.738055 0.960623
8 0.981491 0.688969 0.967792
9 0.989962 0.703050 0.977648
split9_test_score split9_train_score std_fit_time std_score_time \
0 0.486265 0.422636 0.000281 0.000050
1 0.704958 0.719239 0.000163 0.000121
2 0.844835 0.819655 0.000113 0.000060
3 0.867480 0.867142 0.000304 0.000136
4 0.804221 0.896734 0.000301 0.000134
5 0.741988 0.921754 0.000417 0.000287
6 0.723999 0.945784 0.000321 0.000247
7 0.811528 0.959339 0.000435 0.000126
8 0.679462 0.972807 0.000621 0.000142
9 0.780521 0.981271 0.000312 0.000167
std_test_score std_train_score
0 0.168076 0.008463
1 0.121428 0.006418
2 0.133180 0.005922
3 0.100231 0.004240
4 0.108628 0.004280
5 0.161118 0.005715
6 0.148942 0.003425
7 0.142069 0.004900
8 0.143762 0.005646
9 0.144241 0.004749
[10 rows x 31 columns]
Trial 10: $413,700.00
Range in prices: $29,438.89