Machine Learning Training

Sandbox (Build your AI)

Accuracy

0.000

Loss

0.000

Precision

0.000

Recall

0.000

Regularization

Use L2 Regularization

L2 Lambda

Use Batch Normalization

Optimizer

Optimizer

Learning Rate

Beta 1

Beta 2

Momentum

Use Nesterov Momentum

Training

Epochs

Batch Size

Validation Split

Training Data

Training Data (CSV)

Training data must include: pl_orbper, pl_trandur, pl_rade, pl_bmasse, st_teff, st_rad, st_mass, sy_dist and tfopwg_disp.

Note: tfopwg_disp column is assigned with 1 of values: 'CP' (Confirmed Planet), 'PC' (Planetary Candidate) and 'FP' (False Positive)

If no training data was provided, then the default datasets from NASA Exoplanet Archive TOI and Kepler Missions will be used.

Exoplanets Classifier

Upload Observation Data (CSV)

Current selected model:

Classification Results

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Current Run
Model Comparison
Training History

Accuracy

0.000

Loss

0.000

Precision

0.000

Recall

0.000

Metrics Comparison

Metric	Model 1	Model 2	Difference

Version	Date	Accuracy	Loss	Epochs	Dataset Size	Action

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Classification Results

No classification results at the current moment.

Please select the neural network model from the top window at the studio. Or create your own model, which will be selected automatically after training.