"* LibSVM: difference between the two highest probabilities (needs a model with probability estimates, so that classes probabilities can be computed for each sample)\n"
"* Boost: sum of votes\n"
"* DecisionTree: (not supported)\n"
"* GradientBoostedTree: (not supported)\n"
"* KNearestNeighbors: number of neighbors with the same label\n"
"* NeuralNetwork: difference between the two highest responses\n"
"* LibSVM: difference between the two highest probabilities (needs a model with probability estimates, so that classes probabilities can be computed for each sample)\n"
"* Boost: sum of votes\n"
"* DecisionTree: (not supported)\n"
"* GradientBoostedTree: (not supported)\n"
"* KNearestNeighbors: number of neighbors with the same label\n"
"* NeuralNetwork: difference between the two highest responses\n"