Converts feature matrix to weka's .arff format. I used https://github.com/decabyte/arff_matlab for core functionality.

write_mat_to_arff.m

% write_mat_to_arff.m
% Authors:milkers
clear all; close all; clc;
path(path, '..');
%%
features = dir('/home/ilker/Desktop/matToArff/arff_matlab/model_features/');
filenames = dir('/home/ilker/Desktop/matToArff/arff_matlab/model_features_files/');

filename_base = '/home/ilker/Desktop/matToArff/arff_matlab/model_features_files/';
feat_base = '/home/ilker/Desktop/matToArff/arff_matlab/model_features/';

for i=3:length(features)
% for i=3:3
    display([int2str(i-2) '-' features(i).name ' started.'])
    load([filename_base features(i).name]);%returns a cell named cur_filenames
    load([feat_base features(i).name]);%returns a matrix named cur_mat
    [pathstr, concept_name, ext] = fileparts(features(i).name);
    
    %create data structure
    data = struct();
    relname = sprintf([concept_name '_weka']);
    outfile = sprintf('/home/ilker/Desktop/matToArff/arff_matlab/weka_data/%s.arff', relname);
    
    type_class = {'positive', 'negative'};
    
    %modify dataset
    for j=1:length(cur_filenames)%number of positive images*3
        
        [pathstr, tmp_name, ext] = fileparts(cur_filenames{j,1});
        [pathstr, image_name, ext] = fileparts(tmp_name);
        data(j).idx = [concept_name '_' image_name];
        
        feat_size = size(cur_mat);
        for k=1:feat_size(2)-1%4648-1=4647
            data(j).(['f' int2str(k)]) = cur_mat(j,k);
            %display(cur_mat(j,k));
        end
        if cur_mat(j,4648) > 0
            data(j).type_class = 'positive';
        else
            data(j).type_class = 'negative';
        end
        display([int2str(j) '-' features(i).name ' dataset modified.'])
    end
    
    nomspec.type_class = type_class;
    
    arff_write(outfile, data, relname, nomspec);
    display([int2str(i-2) '-' concept_name ' is finished.'])
    
end