logger.txt

Model Bagging -> cost: 7863.200000 +- 858.666617, acc: 0.781873 +- 0.020647, prec: 0.504072 +- 0.017572, reca: 0.900369 +- 0.021614, f1:0.646268 +- 0.019627
Model SVM -> cost: 10759.200000 +- 473.589020, acc: 0.709540 +- 0.014350, prec: 0.421555 +- 0.008041, reca: 0.845501 +- 0.009567, f1:0.562542 +- 0.007507
Model NN -> cost: 19719.700000 +- 1509.084958, acc: 0.730603 +- 0.053471, prec: 0.196026 +- 0.143514, reca: 0.120903 +- 0.093856, f1:0.143297 +- 0.103716
Model Random Forest -> cost: 7762.900000 +- 728.744461, acc: 0.783690 +- 0.018884, prec: 0.506269 +- 0.021020, reca: 0.903540 +- 0.017214, f1:0.648833 +- 0.021389
Model Boosting -> cost: 8146.600000 +- 703.517050, acc: 0.776060 +- 0.016857, prec: 0.496359 +- 0.016808, reca: 0.891862 +- 0.020815, f1:0.637716 +- 0.018514
Model Baseline -> cost: 12084.900000 +- 609.608801, acc: 0.687497 +- 0.012939, prec: 0.396690 +- 0.009153, reca: 0.796010 +- 0.015893, f1:0.529361 +- 0.007783

Parameters:
Input size 10000
Number of agents: 6
interaction_likelihood: 0.200000
hasPillars: True
transmitter_reliability: 1.000000
transmitter_error: 0.000000
receiver_reliability: 1.000000
receiver_error: 0.000000

LATEX TABLE FORMAT:
Bagging & 7863 \pm 609 & 0.781873 \pm 0.012939 & 0.504072 \pm 0.009153 & 0.900369 \pm 0.015893 & 0.646268 \pm 0.007783\\
\hline
SVM & 10759 \pm 609 & 0.709540 \pm 0.012939 & 0.421555 \pm 0.009153 & 0.845501 \pm 0.015893 & 0.562542 \pm 0.007783\\
\hline
NN & 19719 \pm 609 & 0.730603 \pm 0.012939 & 0.196026 \pm 0.009153 & 0.120903 \pm 0.015893 & 0.143297 \pm 0.007783\\
\hline
Random Forest & 7762 \pm 609 & 0.783690 \pm 0.012939 & 0.506269 \pm 0.009153 & 0.903540 \pm 0.015893 & 0.648833 \pm 0.007783\\
\hline
Boosting & 8146 \pm 609 & 0.776060 \pm 0.012939 & 0.496359 \pm 0.009153 & 0.891862 \pm 0.015893 & 0.637716 \pm 0.007783\\
\hline
Baseline & 12084 \pm 609 & 0.687497 \pm 0.012939 & 0.396690 \pm 0.009153 & 0.796010 \pm 0.015893 & 0.529361 \pm 0.007783\\
\hline