68 lines
2.2 KiB
Python
68 lines
2.2 KiB
Python
from fcl_parser import FCLParser
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import skfuzzy.control as ctrl
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import pandas as pd
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teams = pd.read_csv('teams_list.csv')
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matches = pd.read_csv('matches_list.csv')
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not_in_df = ['Podbeskidzie']
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matches_input = []
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for i in range(0,matches.shape[0]):
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team1 = matches['Team1'][i][:-1]
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team2 = matches['Team2'][i][1:-1]
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gameweek = matches['Gameweek'][i]
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if((team1 not in not_in_df) and (team2 not in not_in_df)):
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try:
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form_1 = teams.loc[ (teams['Team'] == team1) & (teams['Gameweek'] == gameweek)].Form.values[0]
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temp_1 = teams.loc[ (teams['Team'] == team1) & (teams['Gameweek'] == gameweek)].Points.values[0]
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form_2 = teams.loc[ (teams['Team'] == team2) & (teams['Gameweek'] == gameweek)].Form.values[0]
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temp_2 = teams.loc[ (teams['Team'] == team2) & (teams['Gameweek'] == gameweek)].Points.values[0]
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except:
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print(team1 + team2 + str(gameweek))
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points = temp_1 - temp_2
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temp = teams.loc[ (teams['Team'] == team1) & (teams['Gameweek'] == gameweek)].Result.values[0]
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ground_truth = 0
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if(temp == 'W'):
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ground_truth = -1
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elif(temp == 'D'):
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ground_truth = 0
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else:
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ground_truth = 1
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matches_input.append([form_1, form_2, points, ground_truth])
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p = FCLParser() # Create the parser
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p.read_fcl_file('worker.fcl')
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cs1 = ctrl.ControlSystem(p.rules)
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module = ctrl.ControlSystemSimulation(cs1)
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predictions = []
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for i in range(0,matches.shape[0]):
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module.input['form1'] = matches_input[i][0]
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module.input['form2'] = matches_input[i][1]
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module.input['points'] = matches_input[i][2]
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module.compute()
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x = module.output['result']
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x = float("{:.4f}".format(x))
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#y = int(round(x))
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if x > 0.2:
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y = 1
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elif x < -0.2:
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y = -1
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else:
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y = 0
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predictions.append(y)
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print("|FCL: " +str(x) + "|ROUND: " + str(y) + "|GROUND: " + str(matches_input[i][3]) + "|PKT DIFFERENCE: " + str(matches_input[i][2])+'|')
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num = 0
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cor = 0
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for i in range(0,matches.shape[0]):
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if(predictions[i]==matches_input[i][3]):
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cor+=1
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num+=1
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else:
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num+=1
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print(float(cor/num))
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