Jiancong Shen Assignment 5 #98
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lizarova777
reviewed
Nov 20, 2019
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| #Plot tree | ||
| ```{r} | ||
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| plot(score_ctree) | ||
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| Please interpret the tree, which two behaviors do you think the teacher should most closely pay attemtion to? |
Assignment 5.Rmd
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| D2$advice <- ifelse(D2$score>=0.8,1,ifelse(D2$score<=0.5,3,2)) | ||
| accuracy<-nrow(filter(D2,prediction==1))/nrow(D2) | ||
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| #The predicted score is 65% accurate. |
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Elaborate on it, as in, specify whether the model overfits or whether it is generalizable. Also, calculate the error rate of the model predictions.
| accuracy<-nrow(filter(D2,prediction==1))/nrow(D2) | ||
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| #The predicted score is 65% accurate. | ||
| ``` |
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Overall, great job on the coding part of this assignment but you may want to work on the analysis.
lizarova777
reviewed
Nov 21, 2019
| @@ -61,7 +61,7 @@ plot(score_ctree) | |||
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| Please interpret the tree, which two behaviors do you think the teacher should most closely pay attemtion to? | |||
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| The teacher should pat attention to prior_prob_count and hints, since they are two deteermining factors in the graph. | |||
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Try to elaborate on it based on the information from the decision tree.
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