text: var ExtraTreesClassifier = function() {
  
      var findProb = function(classes) {
          var sum = 0;
          var output = [];
          for (var i = 0; i < classes.length; i++) {
              sum += classes[i];
          }
  
          for (var j = 0; j < classes.length; j++) {
              output[j] = classes[j] / sum;
          }
          return output;
      }
  
      var trees = new Array();
  
      trees.push(function(features) {
          var classes = new Array(2);
          
          if (features[196] <= 2.396389721611696) {
              if (features[185] <= 1.5071542726397302) {
                  if (features[162] <= 1.129173554540227) {
                      classes[0] = 69; 
                      classes[1] = 0; 
                  } else {
                      classes[0] = 10; 
                      classes[1] = 2; 
                  }
              } else {
                  if (features[154] <= 1.0921901502144478) {
                      classes[0] = 10; 
                      classes[1] = 0; 
                  } else {
                      classes[0] = 37; 
                      classes[1] = 18; 
                  }
              }
          } else {
              if (features[207] <= 2.380636705728544) {
                  if (features[125] <= 2.6238754478394406) {
                      classes[0] = 4; 
                      classes[1] = 2; 
                  } else {
                      classes[0] = 16; 
                      classes[1] = 1; 
                  }
              } else {
                  if (features[13] <= 2.792482890092061) {
                      classes[0] = 4; 
                      classes[1] = 3; 
                  } else {
                      classes[0] = 14; 
                      classes[1] = 38; 
                  }
              }
          }
          // return findMax(classes);
          return findProb(classes);
      
      });
      
      trees.push(function(features) {
          var classes = new Array(2);
          
          if (features[201] <= 2.89218046045498) {
              if (features[137] <= 2.0285661458170816) {
                  if (features[164] <= 2.0536858053196623) {
                      classes[0] = 80; 
                      classes[1] = 2; 
                  } else {
                      classes[0] = 6; 
                      classes[1] = 2; 
                  }
              } else {
                  if (features[19] <= 3.408732415367259) {
                      classes[0] = 26; 
                      classes[1] = 6; 
                  } else {
                      classes[0] = 1; 
                      classes[1] = 2; 
                  }
              }
          } else {
              if (features[98] <= 2.5771311580096983) {
                  if (features[94] <= 2.533828312779697) {
                      classes[0] = 22; 
                      classes[1] = 2; 
                  } else {
                      classes[0] = 7; 
                      classes[1] = 7; 
                  }
              } else {
                  if (features[139] <= 1.8976480182714983) {
                      classes[0] = 2; 
                      classes[1] = 0; 
                  } else {
                      classes[0] = 20; 
                      classes[1] = 43; 
                  }
              }
          }
          // return findMax(classes);
          return findProb(classes);
      
      });
      
      this.predict = function(features) {
          var classes = new Array(2).fill(0);
          for (var i = 0; i < trees.length; i++) {
              for (var j = 0; j < 2 ; j ++) {
                  classes[j] += trees[i](features)[j];
              }
              // classes[trees[i](features)]++;
          }
      
          for (var k = 0; k < 2 ; k ++) {
              classes[k] = classes[k] / trees.length;
          }
      
          return classes;
      }
  
  };
  
  if (typeof process !== 'undefined' && typeof process.argv !== 'undefined') {
      if (process.argv.length - 2 == 211) {
  
          // Features:
          var features = process.argv.slice(2);
  
          // Prediction:
          var prediction = new ExtraTreesClassifier().predict(features);
          console.log(prediction);
  
      }
  }