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Min samples and leaf max features

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Matthias Guillitte
2026-09-27 17:08:00 +02:00
parent 9de8906e0e
commit bacf54b8db
2 changed files with 2 additions and 2 deletions
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doc/hyperparametersOptimisation/min_samples_leaf_max_features.png
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src/training/decision_tree/main.py
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@@ -106,7 +106,7 @@ if __name__ == "__main__":
"label": "Max features", "label": "Max features",
"values": [ "values": [
round(value, 2) round(value, 2)
for value in np.arange(0.2, 0.5, 0.05) for value in np.arange(0.45, 1, 0.05)
] ]
} }
base_model_parameters = { base_model_parameters = {
@@ -129,7 +129,7 @@ if __name__ == "__main__":
# Plot graph # Plot graph
fig, ax = plt.subplots() fig, ax = plt.subplots()
scatter = ax.scatter([], [], c=[], cmap="RdYlGn_r", vmin=0, vmax=2) scatter = ax.scatter([], [], c=[], cmap="RdYlGn_r", vmin=1.3, vmax=1.6)
colorbar = fig.colorbar(scatter, ax=ax) colorbar = fig.colorbar(scatter, ax=ax)
colorbar.set_label("Test MAE") colorbar.set_label("Test MAE")
ax.set_xlabel(parameter_1["label"]) ax.set_xlabel(parameter_1["label"])