Feature Importance


Get this object: archivist::aread("MI2DataLab/modelDown_example/docs/repository/05b4cacaab809a0edeea74db5b1f8c2e")


variable dropout_loss
Random Forest v7
_full_model_ 109.8967
parch 117.1370
sibsp 118.4527
embarked 123.6241
fare 136.7653
age 141.1705
class 159.5563
gender 208.9067
_baseline_ 311.7813
Generalized Boosted Models
_full_model_ 142.2092
fare 142.8057
parch 142.8910
embarked 144.3403
sibsp 145.9102
age 150.4854
class 174.9394
gender 230.7095
_baseline_ 283.4423
Support Vector Machines
_full_model_ 143.8999
embarked 144.0300
fare 144.3273
sibsp 146.6666
age 149.6418
parch 150.3346
class 166.1075
gender 251.8775
_baseline_ 289.7876
k-Nearest Neighbours
_full_model_ 144.7493
embarked 146.9693
parch 147.0619
sibsp 148.8126
gender 153.7905
class 163.9264
age 208.4990
fare 241.4979
_baseline_ 282.5167