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gauravpendharkar
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gradient-boosting-trees-tuning
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Runs
50
Name
50 visualized
macro_recall_mean
wild-sweep-40
wild-sweep-40
0.72768
rare-sweep-19
rare-sweep-19
0.72423
kind-sweep-47
kind-sweep-47
0.71312
twilight-sweep-14
twilight-sweep-14
0.71312
golden-sweep-24
golden-sweep-24
0.71078
kind-sweep-16
kind-sweep-16
0.71048
lucky-sweep-46
lucky-sweep-46
0.70768
logical-sweep-34
logical-sweep-34
0.70768
spring-sweep-50
spring-sweep-50
0.70423
golden-sweep-35
golden-sweep-35
0.70423
stoic-sweep-29
stoic-sweep-29
0.70388
smart-sweep-49
smart-sweep-49
0.70078
celestial-sweep-5
celestial-sweep-5
0.69898
fearless-sweep-17
fearless-sweep-17
0.69898
scarlet-sweep-2
scarlet-sweep-2
0.69886
worthy-sweep-26
worthy-sweep-26
0.6978
spring-sweep-7
spring-sweep-7
0.69657
comic-sweep-9
comic-sweep-9
0.69657
glad-sweep-6
glad-sweep-6
0.69657
rare-sweep-41
rare-sweep-41
0.69657
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friedman_mse
squared_error
criterion
0.02
0.04
0.06
0.08
0.10
0.12
0.14
0.16
0.18
0.20
0.22
0.24
0.26
0.28
0.30
learning_rate
3.0
3.5
4.0
4.5
5.0
5.5
6.0
6.5
7.0
7.5
8.0
8.5
9.0
9.5
10.0
max_depth
<null>
log2
sqrt
max_features
50
100
150
200
250
300
350
400
450
500
n_estimators
0.670
0.675
0.680
0.685
0.690
0.695
0.700
0.705
0.710
0.715
0.720
0.725
0.730
macro_recall_mean