Based on the below tables, which model should be chosen among the three? Please

Question

Based on the below tables, which model should be chosen among the three? Please explain your answers in terms of AIC, McFadden R2 , Area under the ROC curve, and Model Complexity (i.e., Number of Predictor Variables).

Training

Model 1

Model 2

Model 3

AIC

9241.7

2749

9235.8

McFadden R-squared

0.334

0.40

0.334

Validation

Model 1

Model 2

Model 3

Area under the ROC curve

0.9

0.9

0.9

Number of predictor variables

19

19

15

Training

Model 1

Model 2

Model 3

AIC

9241.7

2749

9235.8

McFadden R-squared

0.334

0.40

0.334

Explanation / Answer

The Area under ROC curve is same for all the three models, therefore this factor cant be considered for comparison.

Therefore, the model with minimum AIC and maximum R-squared should be selected to be the next model

Therefore, model 2 should be selected.

Please give a THUMBS UP

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