modeling_zhaocui/deep_learning/Q1/outputs/method_comparison/comparison_summary.csv

1	method	mvr_text	entropy_text	trajectory_span_text	mvr_audio	entropy_audio	trajectory_span_audio	mvr_vision	entropy_vision	trajectory_span_vision	r_at_1_text_to_audio	r_at_5_text_to_audio	r_at_1_text_to_vision	r_at_5_text_to_vision	reconstruction_mae_text	reconstruction_mae_audio	reconstruction_mae_vision	emotion_accuracy	emotion_macro_f1	emotion_mae	emotion_pearson
2	M1	0.0	0.0008249471336603165	0.8612861529795919	0.0	0.35824004098773005	0.8937758523714728	0.0	0.02091189981205389	0.8956127409730107	0.0012000000569969416	0.007000000309199094	0.0020000000949949026	0.007000000402331352	0.8308010935783386	0.6908806562423706	0.9209612965583801	0.5900000000000001	0.43700352733686065	0.5521364179253578	0.5305163430956757
3	M2	0.0	0.003971234038472176	0.8611038638930768	0.0	0.39199826538562776	0.968455815287307	0.0	0.015714890849776567	0.9744537002407014	0.0014000000432133675	0.009200000390410423	0.003600000194273889	0.008800000487826764	0.8190697312355042	0.6621044635772705	0.9195392370223999	0.55	0.3434301254301254	0.5691992919147014	0.5082439027512137
4	M3	0.0	0.0004981429129838944	0.8611844960658346	0.01857142824679613	0.992265993754069	-0.001562372346719104	0.06843537279715141	0.9827406370639801	-0.004611149926980335	0.01966666733690848	0.043000001646578315	0.0062666668944681685	0.013800000709791978	0.8311106324195862	0.38449583053588865	0.868217929204305	0.5766666666666667	0.43789820467598245	0.5534388141334057	0.5457241196963684
5	M4	0.0	0.9999777108430863	0.00020046850045522113	0.0	0.9999900078773498	4.607309897740703e-05	0.0	0.9999960112571716	0.00010548800230026034	0.007066666963510215	0.01226666709408164	0.0016000000604738792	0.00760000046963493	0.4924671709537506	0.37839911778767904	0.8630666335423788	0.56	0.41446068467573843	0.6231901267170906	0.5067829543507287