svm_classification | Machine Learning library

You sound a little confused...

Your predictions.csv looks like:

Have a look at this tutorial about creating QSVMs. Instead of EnergyInput() they use a class called ClassificationInput() to which they pass their data.

This makes the overall expression: algo_input = ClassificationInput(training_input, test_input, datapoints[0])

You are plotting feature 0 against feature 9 (feature_index), and filling feature values 2, 3 and 4 (filler_feature_values). Nowhere are you specifying what to do with features 1, 5, 6, 7, 8 which is why you get the error. Adding these to the filler_feature_values / filler_feature_ranges should resolve this.

{1:value, 2: value, 3:value, 4:value, 5:value, 6: value, 7:value, 8:value}