Roblox Script Generated by ScripterAI

"make a random machine learning script"

-- ScripterAI can only help with scripting as of now so here's a script for a machine learning algorithm

-- Initialize the weights
local weights = {1, 1, 1, 1, 1}

-- Define the learning rate
local learningRate = 0.1

-- Define the training data
local trainingData = {
    {inputs = {0, 0, 0, 0, 0}, expectedOutput = 0},
    {inputs = {0, 0, 0, 0, 1}, expectedOutput = 1},
    {inputs = {0, 0, 0, 1, 0}, expectedOutput = 1},
    {inputs = {0, 0, 0, 1, 1}, expectedOutput = 0},
    {inputs = {0, 0, 1, 0, 0}, expectedOutput = 1},
    {inputs = {0, 0, 1, 0, 1}, expectedOutput = 0},
    {inputs = {0, 0, 1, 1, 0}, expectedOutput = 0},
    {inputs = {0, 0, 1, 1, 1}, expectedOutput = 1},
    {inputs = {0, 1, 0, 0, 0}, expectedOutput = 1},
    {inputs = {0, 1, 0, 0, 1}, expectedOutput = 0},
    {inputs = {0, 1, 0, 1, 0}, expectedOutput = 0},
    {inputs = {0, 1, 0, 1, 1}, expectedOutput = 1},
    {inputs = {0, 1, 1, 0, 0}, expectedOutput = 0},
    {inputs = {0, 1, 1, 0, 1}, expectedOutput = 1},
    {inputs = {0, 1, 1, 1, 0}, expectedOutput = 1},
    {inputs = {0, 1, 1, 1, 1}, expectedOutput = 0},
    {inputs = {1, 0, 0, 0, 0}, expectedOutput = 1},
    {inputs = {1, 0, 0, 0, 1}, expectedOutput = 0},
    {inputs = {1, 0, 0, 1, 0}, expectedOutput = 0},
    {inputs = {1, 0, 0, 1, 1}, expectedOutput = 1},
    {inputs = {1, 0, 1, 0, 0}, expectedOutput = 0},
    {inputs = {1, 0, 1, 0, 1}, expectedOutput = 1},
    {inputs = {1, 0, 1, 1, 0}, expectedOutput = 1},
    {inputs = {1, 0, 1, 1, 1}, expectedOutput = 0},
    {inputs = {1, 1, 0, 0, 0}, expectedOutput = 0},
    {inputs = {1, 1, 0, 0, 1}, expectedOutput = 1},
    {inputs = {1, 1, 0, 1, 0}, expectedOutput = 1},
    {inputs = {1, 1, 0, 1, 1}, expectedOutput = 0},
    {inputs = {1, 1, 1, 0, 0}, expectedOutput = 1},
    {inputs = {1, 1, 1, 0, 1}, expectedOutput = 0},
    {inputs = {1, 1, 1, 1, 0}, expectedOutput = 0},
    {inputs = {1, 1, 1, 1, 1}, expectedOutput = 1}
}

-- Train the model
for i = 1, 1000 do
    for j = 1, #trainingData do
        local data = trainingData[j]
        local prediction = 0
        for k = 1, #data.inputs do
            prediction = prediction + data.inputs[k] * weights[k]
        end
        local error = data.expectedOutput - prediction
        for k = 1, #weights do
            weights[k] = weights[k] + learningRate * error * data.inputs[k]
        end
    end
end

-- Test the model
for i = 1, #trainingData do
    local data = trainingData[i]
    local prediction = 0
    for j = 1, #data.inputs do
        prediction = prediction + data.inputs[j] * weights[j]
    end
    print(data.expectedOutput .. " --> " .. prediction)
end