Closed valeriy42 closed 4 years ago
There may be an incorrect report of the top feature importance values.
If num_top_feature_importance_values is set to 4, it return only 3, if it is set to 10 it returns 6, and if set to 7 it returns 4.
num_top_feature_importance_values
Job config
{ "id": "dfa_breast-cancer-recurrence_1580826608_000_0", "source": { "index": [ "breast-cancer-recurrence-classification" ], "query": { "match_all": {} } }, "dest": { "index": "dest_breast_cancer_80_1580844608808", "results_field": "ml" }, "analysis": { "classification": { "dependent_variable": "class", "num_top_feature_importance_values": 7, "num_top_classes": 2, "prediction_field_name": "class_prediction", "training_percent": 80, "randomize_seed": 80 } }, "model_memory_limit": "1gb", "create_time": 1580844612096, "version": "8.0.0", "allow_lazy_start": false }
I check on the stack build 78 and could not confirm the problem.
I checked with QA, code behaves as expected.
There may be an incorrect report of the top feature importance values.
If
num_top_feature_importance_values
is set to 4, it return only 3, if it is set to 10 it returns 6, and if set to 7 it returns 4.Job config