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| author | Loic Guegan <manzerbredes@mailbox.org> | 2022-11-23 10:47:14 +0100 |
|---|---|---|
| committer | Loic Guegan <manzerbredes@mailbox.org> | 2022-11-23 10:47:14 +0100 |
| commit | 377c0109ec73482613269124480b47d7056691ec (patch) | |
| tree | 59616eea40940c3ccbafea94db3fdf2f829ddf86 /analysis/learning.R | |
| parent | a68359df16784d8e35b8f413eaa1c89bdb6199de (diff) | |
Minor changes
Diffstat (limited to 'analysis/learning.R')
| -rw-r--r-- | analysis/learning.R | 13 |
1 files changed, 13 insertions, 0 deletions
diff --git a/analysis/learning.R b/analysis/learning.R index b3798e6..d21b8cd 100644 --- a/analysis/learning.R +++ b/analysis/learning.R @@ -64,6 +64,19 @@ generate_inputs=function(ignore_hint=FALSE) { tree_accuracy=round((sum(diag(tree_cont_table)/sum(rowSums(tree_cont_table))))*100) tree_prop_table=round(prop.table(tree_cont_table),digits=2) + ## Elbow plot + elbow_data=lapply(seq(1,10),function(kvalue){ + knn_predictions=knn(train=train_set%>%select(-simkey),test=test_set%>%select(-simkey),cl=train_set$simkey,k=kvalue) + ## KNN analysis + knn_cont_table=table(knn_predictions,test_set$simkey) + knn_accuracy=round((sum(diag(knn_cont_table)/sum(rowSums(knn_cont_table))))*100) + knn_prop_table=round(prop.table(knn_cont_table),digits=2) + tibble(k=kvalue,accuracy=knn_accuracy) + }) + elbow_data=do.call("rbind",elbow_data) + ggplot(data=elbow_data,aes(k,accuracy))+geom_point()+geom_line()+ggtitle(paste("K-elbow for with NoHint to",as.character(ignore_hint))) + ggsave(paste0("figures/knn_elbow_NoHintIs",as.character(ignore_hint),".pdf")) + ## Prints print(paste0("Accuracy: KNN=",knn_accuracy,"% CART=",tree_accuracy,"%")) pdf(paste0("figures/tree_",as.character(ignore_hint),".pdf")) |
