SMO Kernel used: Linear Kernel: K(x,y) = Classifier for classes: P, N BinarySMO Machine linear: showing attribute weights, not support vectors. -0.0543 * (normalized) a1cx + -0.0163 * (normalized) a1cy + 0.0292 * (normalized) a1sx + -0.4773 * (normalized) a1sy + -0.079 * (normalized) a1rho + 5.8247 * (normalized) a1pop + 0.0704 * (normalized) a2cx + -0.0198 * (normalized) a2cy + -0.4933 * (normalized) a2sx + -0.6255 * (normalized) a2sy + -0.0036 * (normalized) a2rho + 8.6541 * (normalized) a2pop + -0.0494 * (normalized) a3cx + 0.0466 * (normalized) a3cy + -0.3939 * (normalized) a3sx + -0.239 * (normalized) a3sy + -0.0615 * (normalized) a3rho + 6.5664 * (normalized) a3pop + -0.6427 * (normalized) temp + 0.0944 * (normalized) b1x + 0.0119 * (normalized) b1y + 0.2492 * (normalized) b1call + -0.9301 * (normalized) b1eff + -0.1106 * (normalized) b2x + -0.054 * (normalized) b2y + 0.4172 * (normalized) b2call + -0.1213 * (normalized) b2eff + -0.1038 * (normalized) b3x + 0.2082 * (normalized) b3y + 0.4315 * (normalized) b3call + 0.0499 * (normalized) b3eff + -1.0581 * (normalized) mxql - 1.7371 Number of kernel evaluations: 35883211 (43.67% cached)