<jupyter_start><jupyter_text>|true training data  | Corr Training Data | Test Accuracy | Test Accuracy 0-1-2 | | ------------------ | ------------------ | ------------- | ----------------- || 500   | 35000  |   |   | | 1000  | 35000  |  97,11 | 38  | | 2000  | 35000  |98,12   |  40 | | 4000  | 35000  | 99,14  | 47| | 6000  | 35000  |  99,16 | 55| | 8000  | 35000  | 99,17  | 57| | 10000 | 35000  |  99,17 |58 || 12000 | 35000  |  100,19 |64 | | 15000 | 35000  |  99,19 | 66 | |   Total Training Data       |   Training Accuracy      ||---------------------------- | ------------------------ || 47835         | 100 || 48835         | 100 | 15000Confusion Matrixarray([[661., 148., 191.],       [121., 747., 132.],       [209., 204., 587.]])12000Confusion Matrixarray([[639., 158., 203.],       [175., 718., 107.],       [243., 192., 565.]])10000Confusion Matrixarray([[573., 156., 271.],       [159., 655., 186.],       [262., 197., 541.]])8000Confusion Matrixarray([[561., 208., 231.],       [154., 683., 163.],       [286., 220., 494.]])6000Confusion Matrix array([[565., 204., 231.],       [195., 607., 198.],       [282., 233., 485.]])4000COnfusion Matrix array([[500., 227., 273.],[266., 514., 220.],[310., 281., 409.]])2000Confusion Matrix array([[399., 304., 297.],       [265., 452., 283.],       [326., 302., 372.]])1000Confusion Matrixarray([[359., 298., 343.],       [299., 378., 323.],       [307., 278., 415.]])<jupyter_code><jupyter_output><empty_output>
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