Loss function: Log loss (logistic regression) 6.8248 (normalized) bkblk=f + 7.8878 (normalized) bknwy=f + 3.7842 (normalized) bkon8=f + 0.3453 (normalized) bkona=f + 3.273 (normalized) bkspr=f + 5.3316 (normalized) bkxbq=f + -0.2859 (normalized) bkxcr=f + 4.1487 (normalized) bkxwp=f + -3.525 (normalized) blxwp=f + -16.9336 (normalized) bxqsq=f + 3.663 (normalized) cntxt=f + 3.4212 (normalized) dsopp=f + 0.2024 (normalized) dwipd=l + 8.4885 (normalized) hdchk=f + 18.4188 (normalized) katri=b + 13.746 (normalized) katri=n + 7.5435 (normalized) katri=w + -1.8153 (normalized) mulch=f + 11.974 (normalized) qxmsq=f + -3.3304 (normalized) r2ar8=f + 18.7295 (normalized) reskd=f + 0.7147 (normalized) reskr=f + 41.5143 (normalized) rimmx=f + 5.6392 (normalized) rkxwp=f + 0.0784 (normalized) rxmsq=f + 0.1954 (normalized) simpl=f + 20.7041 (normalized) skach=f + 0.3334 (normalized) skewr=f + -2.2893 (normalized) skrxp=f + 36.7945 (normalized) spcop=f + 11.6089 (normalized) stlmt=f + 7.8552 (normalized) thrsk=f + 3.9794 (normalized) wkcti=f + -2.3232 (normalized) wkna8=f + -8.5114 (normalized) wknck=f + 2.8105 (normalized) wkovl=f + 9.5032 (normalized) wkpos=f + 21.0203 (normalized) wtoeg=n + 18.688 (normalized) wtoeg=t + 0 (normalized) wtoeg=f - 194.5048