<jupyter_start><jupyter_text>plot the victorious model<jupyter_code>plt.clf()
ax = plt.gca()



# {'nn__n_neighbors': 50, 'vect__norm': 'l2', 'lda__n_components': 50, 'vect__max_features': 500, 'nn__metric': 'manhattan'}
validation_scores = [0.21155555555555555, 0.1873873873873874,
    0.17257039055404177 , 0.16381473876340405,
    0.1520940484937546, 0.1430549146285187,
    0.13802221047065044,  0.13336425837875449,
    0.13184772516248838, 0.1275011633317822]

ax = plt.gca()
plot_micro_f1_at_k(validation_scores,ax)
plt.gca().legend_.remove()

plt.gcf().set_size_inches(5,4)
plt.show()<jupyter_output><empty_output>
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