Small fixes

[kaylode]

• Fix classification callbacks and confusion matrix calculation
• Update workflows for docker

[github-actions]

Tabular Classification Report

Metrics

SHAP train

SHAP val

Hyperparameters Tuning

Leaderboard

number	value	datetime_start	datetime_complete	duration	params_gamma	params_learning_rate	params_max_depth	params_n_estimators	params_reg_alpha	params_reg_lambda	best_key	model_name	state
0	0.796705855	1701288478554	1701288478729	175	0.0834553412	0.4196952561	9	183	0.1503420332	0.4963456952	bl_acc	xgboost	COMPLETE
1	0.7937958328	1701288478730	1701288479209	478	0.0750287343	0.0135279499	3	423	0.8485676319	0.3487887853	bl_acc	xgboost	COMPLETE
2	0.7950180421	1701288479210	1701288479460	249	0.5700248139	0.1376822067	6	398	0.8230401753	0.3123578631	bl_acc	xgboost	COMPLETE

Figures

[github-actions]

Tabular Classification Report

Metrics

SHAP train

SHAP val

Hyperparameters Tuning

Leaderboard

number	value	datetime_start	datetime_complete	duration	params_gamma	params_learning_rate	params_max_depth	params_n_estimators	params_reg_alpha	params_reg_lambda	best_key	model_name	state
0	0.8032825049	1701288485759	1701288485921	162	0.1883835328	0.3510185504	5	438	0.5380294528	0.8418535791	bl_acc	xgboost	COMPLETE
1	0.8149225934	1701288485923	1701288486083	159	0.952502867	0.4907568846	5	309	0.0200998857	0.7101457063	bl_acc	xgboost	COMPLETE
2	0.8020602957	1701288486084	1701288486232	147	0.0251860667	0.6747666294	4	300	0.3590650733	0.3941903712	bl_acc	xgboost	COMPLETE

Figures

[github-actions]

Semantic Report

Metrics

precision	recall	dice	iters
0.40049	1	0.57187	0

Prediction

[github-actions]

Semantic Report

Metrics

precision	recall	dice	iters
0.40049	1	0.57187	0

Prediction

[github-actions]

Classification Report

Metrics

acc	bl_acc	weighted-f1	iters
0.75	0.75	0.73333	0

Confusion Matrix

Errorcases

Hyperparameters Tuning

Leaderboard

number	value	datetime_start	datetime_complete	duration	params_optimizer.args.lr	best_key	model_name	state
0	0.75	1701288468990	1701288503491	34500	0.0003144214	bl_acc	efficientnet_b0	COMPLETE
1	0.75	1701288503492	1701288537197	33705	0.0003701887	bl_acc	efficientnet_b0	COMPLETE

[github-actions]

Classification Report

Metrics

acc	bl_acc	weighted-f1	iters
0.75	0.75	0.73333	0

Confusion Matrix

Errorcases

Hyperparameters Tuning

Leaderboard

number	value	datetime_start	datetime_complete	duration	params_optimizer.args.lr	best_key	model_name	state
0	0.25	1701288473411	1701288506977	33565	0.000120106	bl_acc	efficientnet_b0	COMPLETE
1	0.5	1701288506990	1701288539726	32736	0.0001730944	bl_acc	efficientnet_b0	COMPLETE