Table 5.

Base and Meta Models leaderboard

Model Id	Optimal Parameter(s)	Mean per Class Error	Logloss	RMSE	MSE
StackedEnsemble_AllModels	–	0.0183571	0.0316226	0.0876373	0.00768029
GBM_5	number_of_trees = 96,	0.0202543	0.0450185	0.096788	0.00936791
	min_depth = 1,
	max_depth = 15,
	min_leaves = 1,
	max_leaves = 71,
	mean_leaves = 58
XGBoost_3	number_of_trees = 120	0.0224418	0.0373026	0.0942976	0.00889204
DRF_1	number_of_trees = 46,	0.0313595	0.0743251	0.124194	0.0154243
	min_depth = 5,
	max_depth = 20,
	min_leaves = 6,
	max_leaves = 274,
	mean_leaves = 76
GLM_1	family = multinomial,	–	–	0.37236	0.13865
	$\lambda$ = 0.002609,
	${\lambda }_{\mathit{Max}}$ = 18.99,
	${\lambda }_{\mathit{Min}}$ = 0.0026