search for: ibd_probs

Displaying 3 results from an estimated 3 matches for "ibd_probs".

2017 Jun 26
3
Jagged ROC curves?
...my_opt_model, d1test, type = 'prob') my_roc <- roc(d1test[,resp_col] ~ my_probs[,2]) aucval <- round(as.numeric(my_roc$auc),4) return(my_roc) } roc_1 <- getROC(dat1,dat1test) plot.roc(roc_1,col="brown3") > roc_1 Call: roc.formula(formula = d1test[, resp_col] ~ ibd_probs[, 2]) Data: ibd_probs[, 2] in 3 controls (d1test[, resp_col] 0) < 19 cases (d1test[, resp_col] 1). Area under the curve: 0.8596 > roc_1$sensitivities [1] 1.00000000 0.94736842 0.94736842 0.94736842 0.89473684 0.84210526 0.78947368 0.73684211 0.68421053 0.68421053 [11] 0.63157895 0.5789473...
2017 Jun 26
0
Jagged ROC curves?
...(d1test[,resp_col] ~ my_probs[,2]) > aucval <- round(as.numeric(my_roc$auc),4) > return(my_roc) > } > > > roc_1 <- getROC(dat1,dat1test) > plot.roc(roc_1,col="brown3") > > >> roc_1 > > Call: > roc.formula(formula = d1test[, resp_col] ~ ibd_probs[, 2]) > > Data: ibd_probs[, 2] in 3 controls (d1test[, resp_col] 0) < 19 cases > (d1test[, resp_col] 1). > Area under the curve: 0.8596 > > >> roc_1$sensitivities > [1] 1.00000000 0.94736842 0.94736842 0.94736842 0.89473684 0.84210526 > 0.78947368 0.73684211 0.68...
2017 Jun 26
0
Jagged ROC curves?
...ound(as.numeric(my_roc$auc),4) > > return(my_roc) > > } > > > > > > roc_1 <- getROC(dat1,dat1test) > > plot.roc(roc_1,col="brown3") > > > > > >> roc_1 > > > > Call: > > roc.formula(formula = d1test[, resp_col] ~ ibd_probs[, 2]) > > > > Data: ibd_probs[, 2] in 3 controls (d1test[, resp_col] 0) < 19 cases > > (d1test[, resp_col] 1). > > Area under the curve: 0.8596 > > > > > >> roc_1$sensitivities > > [1] 1.00000000 0.94736842 0.94736842 0.94736842 0.89473684 0.842...