arff | Read and write arff files using Python

I was going through a private lecture video where the lecturer was trying to build a histogram classifier. I imitated the code though mine returns an error when I get to:

I'm trying to count the number of instances from a specific attribute in a .arff file. Although, I can only seem to select the attributes and not the values from the data where it appears.

In this case, I'm trying to select the number of times Wins appear in the data, however, the code only selects for the value Wins in the attribute.

Here's what I'm using:

I'm trying to upload a .arff file into my Eclipse IDE so that I can run some machine learning tests, and would really like the community to help to solve this problem with me.

The aim is to create a static method loadData that takes a String for the file path as an argument and returns an Instances object.

However, the value of the local variable train is not used for some reason.

The code I am using:

i'm new to the world of machine learning and i'm studying rnn to classify timeseries. I am studying this dataset https://archive.ics.uci.edu/ml/datasets/EEG+Eye+State# consisting of 14 timeseries with a number of steps equal to 14980 per timeseries what I would like to get is a set of timeseries with exactly 20 timesteps so a numpy array having shape (749,20,14) where 749 is the number of timeseries, 20 is the number of timesteps for timeseries and 14 is the number of values per timestep. This array will then be given inuput to the net for training. What is the right way to achieve this?

starting dataframe, the last column contains integers to classify the timeseries

I am new to smile.

I can run, for example, this code from the tutorial line by line in REPL:

I am trying to analyze the titanic dataset and build a predictive model. I have preprocessed the datasets. Now while I am trying to predict using the test set and I don't know why it doesn't show any result.

Titanic_test.arff Titanic_train.afff

I want to do some work with weka in java. I've added the weka-src.jar and the weka-dev-3.7.10 jar in the java build path and my code doesn't show any error before running it. After I run the code it gives me the following error

If I am using two method (NN and KNN) with caret and then I want to provide significance test, how can I do wilcoxon test.

I provided sample of my data as follows

So I have this JSX element that I am attempting to render in the Class component. It is essentially a visual provided by D3's React library. However, I am receiving this error upon attempting to render the D3 visual:

Unhandled Rejection (Error): Element type is invalid: expected a string (for built-in components) or a class/function (for composite components) but got: undefined. You likely forgot to export your component from the file it's defined in, or you might have mixed up default and named imports.

Below are some relevant code snippets of where the error is occurring:

The builder function to pass all the necessary props to the D3 library