resultados.xlsx - DELAY_CATEGORYFrequency 1 2 3 4 659731...

ELAY_CATEGOR Frequency
1 2641798
2 1096307
3 892702
4 600077
logisticregression
Class precision
659731 149 474 0 1 0.51
273991 175 240 0 2 0.33
222464 144 258 0 3 0.22
149857 61 177 0 4 0
KNN
Class precision
646272 10204 3154 724 1 0.51
259790 11361 2739 516 2 0.37
212287 6618 3261 700 3 0.29
144409 2877 2031 778 4 0.29
Decision Tree
Class precision
657421 2933 0 0 1 0.51
270074 4332 0 0 2 0.45
220930 1936 0 0 3 0
149579 516 0 0 4 0

Random Forest
Class precision
660354 0 0 0 1 0.5
274406 0 0 0 2 0
222866 0 0 0 3 0
150095 0 0 0 4 0
Gaussian Naive Bayes
Class precision
660354 0 0 0 1 0.5
274406 0 0 0 2 0
222866 0 0 0 3 0
150095 0 0 0 4 0
Neural Network
Class precision
660354 0 0 0 1 0.5
274406 0 0 0 2 0
222866 0 0 0 3 0
150095 0 0 0 4 0

Accuracy_score train
accuracy_score test
balanced accuracy score train
balanced accuracy score test
recall f1-score support
1 0.67 660354
0 0 274406
0 0 222866
0 0 150095
recall f1-score support
0.98 0.67 660354
0.04 0.07 274406
0.01 0.03 222866
0.01 0.01 150095
recall f1-score support
1 0.67 660354
0.02 0.03 274406
0 0 222866
0 0 150095

recall f1-score support
1 0.67 660354
0 0 274406
0 0 222866
0 0 150095
recall f1-score support
1 0.67 660354
0 0 274406
0 0 222866
0 0 150095
recall f1-score support
1 0.67 660354
0 0 274406
0 0 222866
0 0 150095

logisticregression Decision tree KNN Random Forest Neural Network
0.50 0.51 0.51 0.51 0.51 0.51
0.50 0.51 0.51 0.50 0.50 0.50
0.25 0.26 0.25 0.25 0.25 0.25
0.25 0.26 0.25 0.25 0.25 0.25
Class
1
2 3 4
micro_avg 0.5 0.5 0.5 1307721
macro_avg 0.27 0.25 0.17 1307721
weighted_avg 0.36 0.5 0.34 1307721
Class
1
2 3 4
micro_avg 0.51 0.51 0.51 1307721
macro_avg 0.36 0.26 0.2 1307721
weighted_avg 0.42 0.51 0.36 1307721
Class
1
2 3 4
micro_avg 0.51 0.51 0.51 1307721
macro_avg 0.24 0.25 0.18 1307721
weighted_avg 0.35 0.51 0.35 1307721
Gaussian Naive
Bayes

Class
1
2 3 4
micro_avg 0.5 0.5 0.5 1307721
macro_avg 0.13 0.25 0.17 1307721
weighted_avg 0.25 0.5 0.34 1307721
Class
1
2 3 4
micro_avg 0.5 0.5 0.5 1307721
macro_avg 0.13 0.25 0.17 1307721
weighted_avg 0.25 0.5 0.34 1307721
Class
1
2 3 4
micro_avg 0.5 0.5 0.5 1307721
macro_avg 0.13 0.25 0.17 1307721
weighted_avg 0.25 0.5 0.34 1307721

ELAY_CATEGOR Frequency
1 2641798
2 1096307
3 892702
4 600077
Undersampled
ELAY_CATEGOR rsampled frequency
1 449982
2 449982
3 449982
4 449982
logisticregression Class precision
275734 123767 53772 207081 1 0.57
92842 69551 27146 84867 2 0.26
70043 47662 25940 79221 3 0.21
42118 29111 16582 62284 4 0.14
Decision Tree Class precision
353443 19332 30386 257193 1 0.58
125235 13765 14440 120966 2 0.33
86386 6138 13115 117227 3 0.2
45223 2133 7911 94828 4 0.16
KNN Class precision
221773 150113 125648 162820 1 0.58
71721 78663 58400 65622 2 0.25
55093 54514 52124 61135 3 0.19
36653 31471 32415 49556 4 0.15

Random Forest Class precision
288206 111243 4293 256612 1 0.59
97037 60227 2132 115010 2 0.26
68742 38726 2130 113268 3 0.22
35585 21029 1155 92326 4 0.16
Gaussian Naive Bayes Class precision
167799 224058 37657 230840 1 0.58
55836 99757 13082 105731 2 0.23
42956 69013 14165 96732 3 0.19
23285 42453 9501 74856 4 0.15
Neural Network Class precision
289171 371183 0 0 1 0.55
90023 184383 0 0 2 0.23
80800 142066 0 0 3 0
61120 88975 0 0 4 0

Accuracy_score train
accuracy_score test
balanced accuracy score train
balanced accuracy score test
recall f1-score support
0.42 0.48 660354
0.25 0.26 274406
0.12