ML Algorithm Playground
Experiment with machine learning algorithms in real-time. Adjust parameters and see how they affect the model's behavior.
Algorithm Selection
Parameters
💡 Tip
Adjust the learning rate to control how quickly the model adapts. Lower values = slower but more stable learning.
Algorithm Visualization
Click "Run" to visualize the algorithm in action
Accuracy
87.5%
Loss
0.234
Iterations
100
Python Code
from sklearn.cluster import KMeans
import numpy as np
# Initialize model
model = KMeans(
n_clusters=3,
learning_rate=0.1,
max_iter=100
)
# Fit the model
model.fit(X_train)
# Predict
predictions = model.predict(X_test)