...
import matplotlib.pyplot as plt %matplotlib inline fig = plt.figure(figsize=(10, 4)) ax = fig.add_axes([0, 0, 0.8, 1], frameon=False, xticks=[], yticks=[]) ax.set_title('Decision Tree: Higgs Boson events Classification', size=24,color='red') def text(ax, x, y, t, size=20, **kwargs): ax.text(x, y, t, ha='center', va='center', size=size, bbox=dict( boxstyle='round', ec='blue', fc='w' ), **kwargs) # Here you are the variables we can use for the training phase: # -------------------------------------------------------------------------- # High level features: # ['f_massjj', 'f_deltajj', 'f_mass4l', 'f_Z1mass' , 'f_Z2mass'] # -------------------------------------------------------------------------- # Low level features: # [ 'f_lept1_pt','f_lept1_eta','f_lept1_phi', \ # 'f_lept2_pt','f_lept2_eta','f_lept2_phi', \ # 'f_lept3_pt','f_lept3_eta','f_lept3_phi', \ # 'f_lept4_pt','f_lept4_eta','f_lept4_phi', \ # 'f_jet1_pt','f_jet1_eta','f_jet1_phi', \ # 'f_jet2_pt','f_jet2_eta','f_jet2_phi'] #--------------------------------------------------------------------------- text(ax, 0.5, 0.9, "How large is\n\"f_lepton1_pt\"?", 20,color='red') text(ax, 0.3, 0.6, "How large is\n\"f_lepton2_pt\"?", 18,color='blue') text(ax, 0.7, 0.6, "How large is\n\"f_lepton3_pt\"?", 18) text(ax, 0.12, 0.3, "How large is\n\"f_lepton4_pt\"?", 14,color='magenta') text(ax, 0.38, 0.3, "How large is\n\"f_jet1_eta\"?", 14,color='violet') text(ax, 0.62, 0.3, "How large is\n\"f_jet2_eta\"?", 14,color='orange') text(ax, 0.88, 0.3, "How large is\n\"f_jet1_phi\"?", 14,color='green') text(ax, 0.4, 0.75, ">= 1 GeV", 12, alpha=0.4,color='red') text(ax, 0.6, 0.75, "< 1 GeV", 12, alpha=0.4,color='red') text(ax, 0.21, 0.45, ">= 3 GeV", 12, alpha=0.4,color='blue') text(ax, 0.34, 0.45, "< 3 GeV", 12, alpha=0.4,color='blue') text(ax, 0.66, 0.45, ">= 2 GeV", 12, alpha=0.4,color='black') text(ax, 0.79, 0.45, "< 2 GeV", 12, alpha=0.4,color='black') ax.plot([0.3, 0.5, 0.7], [0.6, 0.9, 0.6], '-k',color='red') ax.plot([0.12, 0.3, 0.38], [0.3, 0.6, 0.3], '-k',color='blue') ax.plot([0.62, 0.7, 0.88], [0.3, 0.6, 0.3], '-k') ax.plot([0.0, 0.12, 0.20], [0.0, 0.3, 0.0], '--k') ax.plot([0.28, 0.38, 0.48], [0.0, 0.3, 0.0], '--k') ax.plot([0.52, 0.62, 0.72], [0.0, 0.3, 0.0], '--k') ax.plot([0.8, 0.88, 1.0], [0.0, 0.3, 0.0], '--k') ax.axis([0, 1, 0, 1]) fig.savefig('05.08-decision-tree.png')
