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Add some Galgo ODTE results

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Ricardo Montañana Gómez
2022-02-10 00:36:14 +01:00
parent b6ab6bceae
commit 6d8afa4993
14 changed files with 24 additions and 10 deletions
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experiments/experiments.txt
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@@ -27,14 +27,15 @@
#
# kernel liblinear Random Forest and pseudo Random Forest
# RF
ODTE&ODTE Random Forest liblinear-best max_features-sqrt&{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "max_samples": 0.75, "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"best\", \"multiclass_strategy\": \"ovr\"}"}
ODTE&ODTE Random Forest liblinear-random max_features-sqrt&{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "max_samples": 0.75, "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"random\", \"multiclass_strategy\": \"ovr\"}"}
ODTE&ODTE Random Forest liblinear-trandom max_features-sqrt&{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "max_samples": 0.75, "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}
#ODTE_accuracy_pbs_0209_1.sh, ODTE&ODTE Random Forest liblinear-best max_features-sqrt&{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "max_samples": 0.75, "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"best\", \"multiclass_strategy\": \"ovr\"}"}
#ODTE_accuracy_pbs_0209_2.sh, ODTE&ODTE Random Forest liblinear-random max_features-sqrt&{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "max_samples": 0.75, "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"random\", \"multiclass_strategy\": \"ovr\"}"}
#ODTE_accuracy_pbs_0209_3.sh, ODTE&ODTE Random Forest liblinear-trandom max_features-sqrt&{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "max_samples": 0.75, "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}
# pseudo RF
ODTE&ODTE pseudo Random Forest liblinear-best max_samples-sqrt&{"n_jobs": 10, "n_estimators": 100, "max_samples": 0.75, "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"best\", \"multiclass_strategy\": \"ovr\"}"}
ODTE&ODTE pseudo Random Forest liblinear-random max_samples-sqrt&{"n_jobs": 10, "n_estimators": 100, "max_samples": 0.75, "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"random\", \"multiclass_strategy\": \"ovr\"}"}
ODTE&ODTE pseudo Random Forest liblinear-trandom max_samples-sqrt&{"n_jobs": 10, "n_estimators": 100, "max_samples": 0.75, "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}
ODTE&ODTE pseudo Random Forest liblinear-best max_features-sqrt&{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"best\", \"multiclass_strategy\": \"ovr\"}"}
ODTE&ODTE pseudo Random Forest liblinear-random max_features-sqrt&{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"random\", \"multiclass_strategy\": \"ovr\"}"}
ODTE&ODTE pseudo Random Forest liblinear-trandom max_features-sqrt&{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}# RF
#ODTE_accuracy_pbs_0209_4.sh, ODTE&ODTE pseudo Random Forest liblinear-best max_samples-sqrt&{"n_jobs": 10, "n_estimators": 100, "max_samples": 0.75, "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"best\", \"multiclass_strategy\": \"ovr\"}"}
#ODTE_accuracy_pbs_0209_5.sh, ODTE&ODTE pseudo Random Forest liblinear-random max_samples-sqrt&{"n_jobs": 10, "n_estimators": 100, "max_samples": 0.75, "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"random\", \"multiclass_strategy\": \"ovr\"}"}
#ODTE_accuracy_pbs_0209_6.sh, ODTE&ODTE pseudo Random Forest liblinear-trandom max_samples-sqrt&{"n_jobs": 10, "n_estimators": 100, "max_samples": 0.75, "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}
#ODTE_accuracy_pbs_0209_7.sh, ODTE&ODTE pseudo Random Forest liblinear-best max_features-sqrt&{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"best\", \"multiclass_strategy\": \"ovr\"}"}
#ODTE_accuracy_pbs_0209_8.sh, ODTE&ODTE pseudo Random Forest liblinear-random max_features-sqrt&{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"random\", \"multiclass_strategy\": \"ovr\"}"}
#ODTE_accuracy_pbs_0209_9.sh, ODTE&ODTE pseudo Random Forest liblinear-trandom max_features-sqrt&{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams": "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}# RF