binary classification model (TargetMol)
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TargetMol
binary classification model
Binary Classification Model, supplied by TargetMol, used in various techniques. Bioz Stars score: 94/100, based on 19 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/classification+model/Bioactive+Compounds+Library+Max/pmc12828150-63-11-32
Average 94 stars, based on 19 article reviews
Binary Classification Model, supplied by TargetMol, used in various techniques. Bioz Stars score: 94/100, based on 19 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/classification+model/Bioactive+Compounds+Library+Max/pmc12828150-63-11-32
Average 94 stars, based on 19 article reviews
binary classification model - by Bioz Stars,
2026-09
94/100 stars
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Activity Assay:Article Title: Deep learning-based discovery of tetrahydrocarbazoles as broad-spectrum antitumor agents and click-activated strategy for targeted cancer therapy Article Snippet: Data are shown as mean ± SD ( n = 3).Data are shown as mean ± SD ( n = 3).. Figure 2 To validating the genuine accuracy of the model, the Article Title: Deep learning-based discovery of tetrahydrocarbazoles as broad-spectrum antitumor agents and click-activated strategy for targeted cancer therapy Article Snippet: The ROC-AUC scores of RF and SVM model on the test set were 0.901 and 0.874, respectively, both of which performed noticeably worse than the XGBoost method (Supporting Information Figs. S2 and S3).The ROC-AUC scores of RF and SVM model on the test set were 0.901 and 0.874, respectively, both of which performed noticeably worse than the XGBoost method (Supporting Information Figs. S2 and S3).. To validating the genuine accuracy of the model, the Drug discovery:Article Title: Deep learning-based discovery of tetrahydrocarbazoles as broad-spectrum antitumor agents and click-activated strategy for targeted cancer therapy Article Snippet: Data are shown as mean ± SD ( n = 3).Data are shown as mean ± SD ( n = 3).. Figure 2 To validating the genuine accuracy of the model, the Article Title: Deep learning-based discovery of tetrahydrocarbazoles as broad-spectrum antitumor agents and click-activated strategy for targeted cancer therapy Article Snippet: The ROC-AUC scores of RF and SVM model on the test set were 0.901 and 0.874, respectively, both of which performed noticeably worse than the XGBoost method (Supporting Information Figs. S2 and S3).The ROC-AUC scores of RF and SVM model on the test set were 0.901 and 0.874, respectively, both of which performed noticeably worse than the XGBoost method (Supporting Information Figs. S2 and S3).. To validating the genuine accuracy of the model, the |
