def appendStats(raw_output, clf, score, k, timeFit, timePredict):
_timeFitLin = clf.time_fit_lin # SS_MSMS
_timeFitGauss = clf.time_fit_gauss # MM:SS
_timeFitOver = clf.time_overhead # MSMS
# _timeTotal = _timeFitLin + _timeFitGauss + _timeFitOver
_timeTotal = timeFit
_score = score
_error = round((1 - _score) * 100, 2)
_timePredict = timePredict ## SS_MSMS
gauss_stat = str(clf.n_gauss) + " (" + str(
round((float(clf.n_gauss) / float(clf.n_gauss + clf.n_lin) * 100), 2)) + "%);"
lin_stat = str(clf.n_lin) + " \t(" + str(
round((float(clf.n_lin) / float(clf.n_gauss + clf.n_lin) * 100), 2)) + "%);"
lin_c = Converter.toPowerOfTen(clf.lin_svc.C) + ";"
gauss_c = Converter.toPowerOfTen(clf.gauss_svc.C) + ";"
gauss_gamma = Converter.toPowerOfTen(clf.gauss_svc.gamma) + ";"
try:
n_gaussSVs = str(clf.gauss_svc.n_support_[0] + clf.gauss_svc.n_support_[1]) + ";"
except AttributeError:
n_gaussSVs = "0;"
# Bring Time data in readable format
# _timeFit = Conversions.secondsToHourMin(_timeTotal)
_timeFitLin = Converter.secondsToSecMilsec(_timeFitLin)
_timeFitGauss = Converter.secondsToMinSec(_timeFitGauss)
_timeFitOver = Converter.secondsToMilsec(_timeFitOver)
_timePredict = Converter.secondsToSecMilsec(_timePredict)
raw_output[0].append(gauss_stat)
raw_output[1].append(lin_stat)
raw_output[2].append(lin_c)
raw_output[3].append(gauss_c)
raw_output[4].append(gauss_gamma)
raw_output[5].append(n_gaussSVs)
raw_output[6].append(str(_timeTotal).replace(".", ",") + "s;")
raw_output[7].append(_timeFitGauss + ";")
raw_output[8].append(_timeFitLin + ";")
raw_output[9].append(_timeFitOver + ";")
raw_output[10].append(_timePredict + ";")
raw_output[11].append(str(_error) + "%;")
raw_output[12].append(str(k) + ";")
return raw_output
