Evaluation
Evall log
{"files":{"EXIST2025_T1_1_en_es_hard_test_gold.json":{"description":"The file is correctly parser without errors or warnings.\\nFile name: EXIST2025_T1_1_en_es_hard_test_gold.json.","errors":{},"gold":true,"name":"EXIST2025_T1_1_en_es_hard_test_gold.json","status":"OK"},"task1_1_hard_YourTeamName_1.json":{"description":"The file is correctly parser without errors or warnings.\\nFile name: task1_1_hard_YourTeamName_1.json.","errors":{},"gold":false,"name":"task1_1_hard_YourTeamName_1.json","status":"OK"}},"metrics":{"Accuracy":{"acronym":"Acc","description":"Coming soon!","name":"Accuracy","results":{"average_per_test_case":0.8389596015495296,"test_cases":[{"average":0.8389596015495296,"name":"EXIST2025"}]},"status":"OK"},"FMeasure":{"acronym":"F1","description":"Coming soon!","name":"F-Measure","results":{"average_per_test_case":0.7800754967330997,"test_cases":[{"average":0.7800754967330997,"classes":{"NO":0.7976307996051332,"YES":0.7625201938610663},"name":"EXIST2025"}]},"status":"OK"},"ICM":{"acronym":"ICM","description":"Coming soon!","name":"Information Contrast model","results":{"average_per_test_case":0.5127851669666814,"test_cases":[{"average":0.5127851669666814,"name":"EXIST2025"}]},"status":"OK"},"ICMNorm":{"acronym":"ICM-Norm","description":"Coming soon!","name":"Normalized Information Contrast Model","results":{"average_per_test_case":0.7577269991069011,"test_cases":[{"average":0.7577269991069011,"name":"EXIST2025"}]},"status":"OK"},"Kappa":{"acronym":"Kappa","description":"Coming soon!","name":"Cohen's Kappa","results":{"average_per_test_case":0.6772083247136791,"test_cases":[{"average":0.6772083247136791,"name":"EXIST2025"}]},"status":"OK"},"Precision":{"acronym":"Pr","description":"Coming soon!","name":"Precision","results":{"average_per_test_case":0.7299225899868199,"test_cases":[{"average":0.7299225899868199,"classes":{"NO":0.7724665391969407,"YES":0.6873786407766991},"name":"EXIST2025"}]},"status":"OK"},"Recall":{"acronym":"Re","description":"Coming soon!","name":"Recall","results":{"average_per_test_case":0.8402981023122671,"test_cases":[{"average":0.8402981023122671,"classes":{"NO":0.8244897959183674,"YES":0.8561064087061668},"name":"EXIST2025"}]},"status":"OK"},"SystemPrecision":{"acronym":"SP","description":"Coming soon!","name":"System Precision","results":{"average_per_test_case":0.7302504816955684,"test_cases":[{"average":0.7302504816955684,"name":"EXIST2025"}]},"status":"OK"}}}
ICM Norm
0.76
metric_params
{"FMeasure":{"alfa_param":0.5,"custom":false},"ICM":{"alpha_1":2,"alpha_2":2,"beta":3,"custom":false}}
Sistema
Lucifer1002_method1
Partición resultados
All
Precisión
0.73
Recall
0.84
F1
0.78
Accuracy
0.84
ICM
0.51
SystemPrecision
0.73
Kappa
0.68

