|Model table "densesvm_iris_sigmoid_model" is created successfully
The model is trained with 120 samples and 512 unique attributes with hash projection
There are 3 different classes in the training set
The model is converged after 18 steps with epsilon 0.01, the average value of the loss function for the training set is 55.1275114033879
The corresponding training parameters are cost:1.0 bias:0.0
Only models with RBF and Sigmoid kernels have converged. This may mean that the true boundaries in the data set are hard to capture with a linear or polynomial model.