Performance testing results
Size of the dataset being classified/time taken to classifiy
5000 - 0.29 seconds
10,000 - 0.60 seconds
15,000 - 1.04 seconds
20,000 - 1.17 seconds
50,000 - 2.77 seconds
Model was built using the standard parameters
My interests are in Data Mining/Pattern Classification/Machine Learning. This blog is contains my notes regarding my research and the projects that I am working on.
Category | TrainingCt | % | Valdn Count | Precision | Recall | Raw Avg | Avg * Count |
1 | 6 | 1.24% | 23 | 33.33% | 4.35% | 0.08 | 1.77 |
2 | 10 | 2.06% | 59 | 45.45% | 8.47% | 0.14 | 8.42 |
3 | 4 | 0.82% | 7 | 40.00% | 57.14% | 0.47 | 3.29 |
4 | 5 | 1.03% | 51 | 20.00% | 1.96% | 0.04 | 1.82 |
5 | 4 | 0.82% | 25 | 0.00% | 0.00% | 0.00% | 0 |
6 | 4 | 0.82% | 20 | 0.00% | 0.00% | 0.00% | 0 |
7 | 5 | 1.03% | 11 | 50.00% | 18.18% | 0.27 | 2.93 |
8 | 5 | 1.03% | 60 | 83.33% | 8.33% | 0.15 | 9.09 |
9 | 9 | 1.86% | 85 | 33.33% | 2.35% | 0.04 | 3.73 |
10 | 6 | 1.24% | 71 | 75.00% | 4.23% | 0.08 | 5.69 |
11 | 3 | 0.62% | 46 | 50.00% | 2.17% | 0.04 | 1.91 |
12 | 6 | 1.24% | 60 | 66.67% | 10.00% | 0.17 | 10.43 |
13 | 6 | 1.24% | 69 | 20.00% | 1.45% | 0.03 | 1.87 |
14 | 5 | 1.03% | 75 | 0.00% | 0.00% | 0.00% | 0 |
15 | 4 | 0.82% | 55 | 100.00% | 14.55% | 0.25 | 13.97 |
16 | 3 | 0.62% | 5 | 0.00% | 0.00% | 0.00% | 0 |
17 | 4 | 0.82% | 34 | 0.00% | 0.00% | 0.00% | 0 |
18 | 38 | 7.84% | 241 | 37.82% | 30.29% | 0.34 | 81.07 |
19 | 41 | 8.45% | 399 | 58.73% | 37.09% | 0.45 | 181.41 |
20 | 10 | 2.06% | 116 | 78.57% | 9.48% | 0.17 | 19.63 |
21 | 10 | 2.06% | 126 | 53.85% | 5.56% | 0.1 | 12.7 |
22 | 20 | 4.12% | 252 | 61.11% | 8.73% | 0.15 | 38.5 |
23 | 6 | 1.24% | 77 | 38.46% | 6.49% | 0.11 | 8.55 |
24 | 9 | 1.86% | 190 | 100.00% | 4.21% | 0.08 | 15.35 |
25 | 15 | 3.09% | 141 | 26.32% | 3.55% | 0.06 | 8.82 |
26 | 4 | 0.82% | 91 | 100.00% | 3.30% | 0.06 | 5.81 |
27 | 4 | 0.82% | 61 | 33.33% | 1.64% | 0.03 | 1.91 |
28 | 6 | 1.24% | 40 | 33.33% | 12.50% | 0.18 | 7.27 |
29 | 5 | 1.03% | 25 | 0.00% | 0.00% | 0.00% | 0 |
30 | 9 | 1.86% | 125 | 29.17% | 5.60% | 0.09 | 11.75 |
31 | 5 | 1.03% | 80 | 75.00% | 3.75% | 0.07 | 5.71 |
32 | 4 | 0.82% | 68 | 77.78% | 10.29% | 0.18 | 12.36 |
33 | 8 | 1.65% | 44 | 46.15% | 13.64% | 0.21 | 9.26 |
34 | 10 | 2.06% | 70 | 33.33% | 8.57% | 0.14 | 9.54 |
35 | 8 | 1.65% | 66 | 50.00% | 6.06% | 0.11 | 7.13 |
36 | 4 | 0.82% | 99 | 75.00% | 6.06% | 0.11 | 11.1 |
37 | 4 | 0.82% | 13 | 0.00% | 0.00% | 0.00% | 0 |
38 | 2 | 0.41% | 29 | 0.00% | 0.00% | 0.00% | 0 |
39 | 3 | 0.62% | 28 | 50.00% | 3.57% | 0.07 | 1.87 |
40 | 4 | 0.82% | 32 | 53.85% | 21.88% | 0.31 | 9.96 |
41 | 3 | 0.62% | 25 | 50.00% | 4.00% | 0.07 | 1.85 |
42 | 4 | 0.82% | 48 | 33.33% | 2.08% | 0.04 | 1.88 |
43 | 12 | 2.47% | 100 | 63.64% | 14.00% | 0.23 | 22.95 |
44 | 3 | 0.62% | 7 | 100.00% | 28.57% | 0.44 | 3.11 |
45 | 4 | 0.82% | 135 | 62.50% | 3.70% | 0.07 | 9.43 |
46 | 9 | 1.86% | 365 | 66.67% | 2.74% | 0.05 | 19.21 |
47 | 2 | 0.41% | 11 | 0.00% | 0.00% | 0.00% | 0 |
48 | 5 | 1.03% | 40 | 0.00% | 0.00% | 0.00% | 0 |
49 | 3 | 0.62% | 10 | 0.00% | 0.00% | 0.00% | 0 |
50 | 3 | 0.62% | 16 | 33.33% | 6.25% | 0.11 | 1.68 |
51 | 7 | 1.44% | 51 | 26.67% | 7.84% | 0.12 | 6.18 |
52 | 24 | 4.95% | 301 | 46.48% | 10.96% | 0.18 | 53.39 |
53 | 3 | 0.62% | 11 | 100.00% | 9.09% | 0.17 | 1.83 |
54 | 2 | 0.41% | 63 | 100.00% | 1.59% | 0.03 | 1.97 |
55 | 36 | 7.42% | 332 | 49.08% | 40.06% | 0.44 | 146.46 |
56 | 4 | 0.82% | 6 | 14.29% | 16.67% | 0.15 | 0.92 |
57 | 4 | 0.82% | 9 | 0.00% | 0.00% | 0.00% | 0 |
58 | 3 | 0.62% | 5 | 0.00% | 0.00% | 0.00% | 0 |
59 | 4 | 0.82% | 9 | 50.00% | 33.33% | 0.4 | 3.6 |
60 | 4 | 0.82% | 2 | 0.00% | 0.00% | 0.00% | 0 |
61 | 4 | 0.82% | 11 | 0.00% | 0.00% | 0.00% | 0 |
62 | 3 | 0.62% | 2 | 0.00% | 0.00% | 0.00% | 0 |
63 | 5 | 1.03% | 52 | 25.00% | 1.92% | 0.04 | 1.85 |
64 | 3 | 0.62% | 37 | 0.00% | 0.00% | 0.00% | 0 |
65 | 10 | 2.06% | 9 | 40.00% | 44.44% | 0.42 | 3.79 |
67 | 3 | 0.62% | 3 | 0.00% | 0.00% | 0.00% | 0 |
485 | 4829 | 39.24% | 0.12 | 0.17 |