Scikit-learn: How to obtain True Positive, True Negative, False Positive and False Negative

Question

My problem:

I have a dataset which is a large JSON file. I read it and store it in the trainList variable.

Next, I pre-process

Answer 1

Just in case some is looking for the same in MULTI-CLASS Example

def perf_measure(y_actual, y_pred):
    class_id = set(y_actual).union(set(y_pred))
    TP = []
    FP = []
    TN = []
    FN = []

    for index ,_id in enumerate(class_id):
        TP.append(0)
        FP.append(0)
        TN.append(0)
        FN.append(0)
        for i in range(len(y_pred)):
            if y_actual[i] == y_pred[i] == _id:
                TP[index] += 1
            if y_pred[i] == _id and y_actual[i] != y_pred[i]:
                FP[index] += 1
            if y_actual[i] == y_pred[i] != _id:
                TN[index] += 1
            if y_pred[i] != _id and y_actual[i] != y_pred[i]:
                FN[index] += 1


    return class_id,TP, FP, TN, FN