final version
This commit is contained in:
Wiktor Dudek
parent
480401f8fd
commit
3a75a149e3
@ -1,7 +1,9 @@
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from math import dist, sqrt
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from math import dist, sqrt
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from re import A
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import pygame
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import pygame
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from classes import minesweeper, system, bfs
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from classes import minesweeper, system, bfs
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from random import randrange
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from random import randrange
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from geneticAlgorythm import geneticAligouwu
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class AI:
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class AI:
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window:system.Window
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window:system.Window
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@ -17,11 +19,20 @@ class AI:
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self.window = window
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self.window = window
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self.current_map = current_map
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self.current_map = current_map
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self.saper = saper
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self.saper = saper
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whereMines = []
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for encounter in current_map.encounters:
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whereMines.append((encounter.position_x, encounter.position_y))
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self.route = geneticAligouwu(whereMines)
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def giveNextDestination(self):
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x = self.route.pop(0)
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return x
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#co ma zrobić tylko na początku
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#co ma zrobić tylko na początku
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def ready(self):
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def ready(self):
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self.saper.set_map(self.current_map)
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self.saper.set_map(self.current_map)
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self.bfs()
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self.bfs()
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#co ma robić przy każdym FPS'ie
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#co ma robić przy każdym FPS'ie
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@ -86,34 +97,15 @@ class AI:
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self.bfs()
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self.bfs()
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def bfs(self):
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def bfs(self):
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def mojafunkcja(ileczasu, jakdaleko, jaktrudno, jakciezko):
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#goal_state = [route[i][0], route[i][1]]
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return ((200-ileczasu)+(200-jakdaleko*10))-jaktrudno*jakciezko
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goal_stateZ = [5, 5]
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goal_state = [0,0]
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def fitness(x, y, z, w): #funkcja do ewaluacji
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goal_stateTemp = self.giveNextDestination()
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ans = mojafunkcja(x, y, z, w)
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goal_state[0] = goal_stateTemp[0]
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return abs(ans-400)
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goal_state[1] = goal_stateTemp[1]
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dists = [] # how long way is to all encounters from start([0, 0])
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print(str(goal_stateZ) + " vs " + str(goal_state))
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ranked = []
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for encounter in self.current_map.encounters:
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dists.append(abs(self.saper.position_x - encounter.position_x) + abs(self.saper.position_y - encounter.position_y))
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for a in self.current_map.mines:
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ranked.append((fitness(a.explosion_timer, (abs(self.saper.position_x - encounter.position_x) + abs(self.saper.position_y - encounter.position_y)), a.difficulty, a.weight), a))
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ranked.sort() #posortowana lista najlepszych wyborów dla min
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if ranked:
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print(ranked[0][0])
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indx = ranked[0][1].position_x
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indy = ranked[0][1].position_y
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else:
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ind = dists.index(min(dists))
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indx = self.current_map.encounters[ind].position_x
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indy = self.current_map.encounters[ind].position_y
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goal_state = [indx, indy]
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print(f'We go to {goal_state}')
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print(f'We go to {goal_state}')
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find_path = bfs.BFS(self.saper, self.window)
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find_path = bfs.BFS(self.saper, self.window)
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112
geneticAlgorythm.py
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112
geneticAlgorythm.py
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@ -0,0 +1,112 @@
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import random
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def geneticAligouwu(whereMines):
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populationSize = 120
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topSize = 20
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mutationCount = 5
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genCount = 500
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def distance(xfrom, yto):
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#print(xfrom[0],yto[0],xfrom[1],yto[1])
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return abs(xfrom[0]-yto[0]) + abs(xfrom[1]-yto[1])
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#distance ^
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def fitness(route):
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routescore = 0
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startingPoint = (0,0)
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routescore += distance(startingPoint, route[0])
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for i in range(0, len(route)-1):
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if i != (len(route)-2):
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routescore += distance(route[i], route[i+1])
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return routescore
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#fitness ^
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def evaluation(population):
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for i in range(0, len(population)):
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#print(str(population[i]) + " nr: " + str(i))
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population[i][-1] = fitness(population[i])
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#evaluation(distance)
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def Davis(p1, p2):
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child = []
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childP1 = []
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childP2 = []
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geneA = int(random.random() * len(p1))
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geneB = int(random.random() * len(p1))
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start = min(geneA, geneB)
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end = max(geneA, geneB)
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for i in range(start, end):
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childP1.append(p1[i])
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childP2 = [item for item in p2 if item not in childP1]
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child = childP1 + childP2
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return child
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#breeding
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def produceNextGeneration(population):
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#print(population[0])
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evaluation(population)
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population.sort(key=lambda eme: eme[-1])
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"""tempprintscore = []
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for i in range(0, 10):
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tempprintscore.append(population[i][-1])
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print(tempprintscore)"""
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#print("Best dist: " + str(population[0][-1]))
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#sorting sorted
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newGeneration = []
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for i in range(0,topSize):
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newGeneration.append(population[i])
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#print("elite child: " + str(population[i]) + str(i))
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#elitism
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for i in range(0, len(population)-topSize):
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child = Davis(population[i], population[len(population)-i-1])
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newGeneration.append(child)
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#print("breed child: " + str(child) + "nr: " + str(i+topSize) + " / " + str(i))
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#fill rest of generation with breeding
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for i in range(mutationCount):
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mO = int(random.random() * len(population))
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#MutatingOrganism
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gene1 = int(abs(random.random() * len(newGeneration[mO])-1))
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gene2 = int(abs(random.random() * len(newGeneration[mO])-1))
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geneTemp = newGeneration[mO][gene1]
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newGeneration[mO][gene1] = newGeneration[mO][gene2]
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newGeneration[mO][gene2] = geneTemp
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#mutation by swapping mines
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return newGeneration
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def geneticAlgorithm(population, generations):
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currentBestRoute = []
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currentHighScore = 9999999999999
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for i in range(0, generations):
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population = produceNextGeneration(population)
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if population[0][-1] < currentHighScore:
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currentBestRoute = population[0]
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print("Najlepszy dystans: " + str(population[0][-1]) + " / " + str(currentBestRoute[-1]) + " <3")
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return currentBestRoute
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#whereMines = []
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#for encounter in self.current_map.encounters:
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# whereMines.append((encounter.position_x, encounter.position_y))
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#mines(coordinates) ^
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population = []
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for i in range(0, populationSize):
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tempPopulation = random.sample(whereMines, len(whereMines))
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tempPopulation.append(0)
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population.append(tempPopulation)
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#generation
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####################################################################################
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route = geneticAlgorithm(population, genCount)
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route.pop()
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#END OF GENETIC ALGORITHM
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####################################################################################
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return route
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@ -1,31 +1,31 @@
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[
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[
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{"current_level": 1, "leaf_id": "2ece3328-e767-11ec-802c-4ccc6afd6a08", "parents": "root", "rule": "else: return 'detonate'", "feature_idx": -1, "feature_name": "", "instances": 200, "metric": 0, "return_statement": 0, "tree_id": 0},
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{"current_level": 1, "leaf_id": "6c32ed43-2efd-11ed-96f6-4ccc6afd6a08", "parents": "root", "rule": "else: return 'detonate'", "feature_idx": -1, "feature_name": "", "instances": 200, "metric": 0, "return_statement": 0, "tree_id": 0},
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{"current_level": 1, "leaf_id": "2ececefd-e767-11ec-804a-4ccc6afd6a08", "parents": "root", "rule": "if obj[4]<=80.67436609605278:", "feature_idx": 4, "feature_name": "Random_detonation_chance", "instances": 200, "metric": 0.9964625048848765, "return_statement": 0, "tree_id": 0},
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{"current_level": 1, "leaf_id": "6c3375b0-2efd-11ed-a86e-4ccc6afd6a08", "parents": "root", "rule": "if obj[4]<=80.67436609605278:", "feature_idx": 4, "feature_name": "Random_detonation_chance", "instances": 200, "metric": 0.9964625048848765, "return_statement": 0, "tree_id": 0},
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{"current_level": 2, "leaf_id": "2edc6e09-e767-11ec-b67a-4ccc6afd6a08", "parents": "2ececefd-e767-11ec-804a-4ccc6afd6a08", "rule": "else: return 'detonate'", "feature_idx": -1, "feature_name": "", "instances": 161, "metric": 0, "return_statement": 0, "tree_id": 0},
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{"current_level": 2, "leaf_id": "6c412666-2efd-11ed-9404-4ccc6afd6a08", "parents": "6c3375b0-2efd-11ed-a86e-4ccc6afd6a08", "rule": "else: return 'detonate'", "feature_idx": -1, "feature_name": "", "instances": 161, "metric": 0, "return_statement": 0, "tree_id": 0},
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{"current_level": 2, "leaf_id": "2edd09e1-e767-11ec-b87c-4ccc6afd6a08", "parents": "2ececefd-e767-11ec-804a-4ccc6afd6a08", "rule": "if obj[2]<=0:", "feature_idx": 2, "feature_name": "Protection_from_defuse", "instances": 161, "metric": 0.9203523274205176, "return_statement": 0, "tree_id": 0},
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{"current_level": 2, "leaf_id": "6c41c121-2efd-11ed-ac61-4ccc6afd6a08", "parents": "6c3375b0-2efd-11ed-a86e-4ccc6afd6a08", "rule": "if obj[2]<=0:", "feature_idx": 2, "feature_name": "Protection_from_defuse", "instances": 161, "metric": 0.9203523274205176, "return_statement": 0, "tree_id": 0},
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{"current_level": 3, "leaf_id": "2ee9f96f-e767-11ec-b259-4ccc6afd6a08", "parents": "2edd09e1-e767-11ec-b87c-4ccc6afd6a08", "rule": "else: return 'detonate'", "feature_idx": -1, "feature_name": "", "instances": 135, "metric": 0, "return_statement": 0, "tree_id": 0},
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{"current_level": 3, "leaf_id": "6c4e94d5-2efd-11ed-850f-4ccc6afd6a08", "parents": "6c41c121-2efd-11ed-ac61-4ccc6afd6a08", "rule": "else: return 'detonate'", "feature_idx": -1, "feature_name": "", "instances": 135, "metric": 0, "return_statement": 0, "tree_id": 0},
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{"current_level": 3, "leaf_id": "2eea9544-e767-11ec-9dee-4ccc6afd6a08", "parents": "2edd09e1-e767-11ec-b87c-4ccc6afd6a08", "rule": "if obj[3]<=7:", "feature_idx": 3, "feature_name": "Meters_under_the_ground", "instances": 135, "metric": 0.7364977795505669, "return_statement": 0, "tree_id": 0},
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{"current_level": 3, "leaf_id": "6c4f30b9-2efd-11ed-84b6-4ccc6afd6a08", "parents": "6c41c121-2efd-11ed-ac61-4ccc6afd6a08", "rule": "if obj[3]<=7:", "feature_idx": 3, "feature_name": "Meters_under_the_ground", "instances": 135, "metric": 0.7364977795505669, "return_statement": 0, "tree_id": 0},
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{"current_level": 4, "leaf_id": "2ef42ba3-e767-11ec-99b1-4ccc6afd6a08", "parents": "2eea9544-e767-11ec-9dee-4ccc6afd6a08", "rule": "else: return 'defuse'", "feature_idx": -1, "feature_name": "", "instances": 116, "metric": 0, "return_statement": 0, "tree_id": 0},
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{"current_level": 4, "leaf_id": "6c58a9a1-2efd-11ed-93df-4ccc6afd6a08", "parents": "6c4f30b9-2efd-11ed-84b6-4ccc6afd6a08", "rule": "else: return 'defuse'", "feature_idx": -1, "feature_name": "", "instances": 116, "metric": 0, "return_statement": 0, "tree_id": 0},
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{"current_level": 4, "leaf_id": "2ef4c777-e767-11ec-8b3d-4ccc6afd6a08", "parents": "2eea9544-e767-11ec-9dee-4ccc6afd6a08", "rule": "if obj[1]<=1997.8794790831414:", "feature_idx": 1, "feature_name": "Year(older_more_difficult)", "instances": 116, "metric": 0.3936164041111624, "return_statement": 0, "tree_id": 0},
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{"current_level": 4, "leaf_id": "6c59464a-2efd-11ed-b802-4ccc6afd6a08", "parents": "6c4f30b9-2efd-11ed-84b6-4ccc6afd6a08", "rule": "if obj[1]<=1997.8794790831414:", "feature_idx": 1, "feature_name": "Year(older_more_difficult)", "instances": 116, "metric": 0.3936164041111624, "return_statement": 0, "tree_id": 0},
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{"current_level": 5, "leaf_id": "2efb52ad-e767-11ec-a8d9-4ccc6afd6a08", "parents": "2ef4c777-e767-11ec-8b3d-4ccc6afd6a08", "rule": "else: return 'defuse'", "feature_idx": -1, "feature_name": "", "instances": 97, "metric": 0, "return_statement": 0, "tree_id": 0},
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{"current_level": 5, "leaf_id": "6c5ff8ae-2efd-11ed-b012-4ccc6afd6a08", "parents": "6c59464a-2efd-11ed-b802-4ccc6afd6a08", "rule": "else: return 'defuse'", "feature_idx": -1, "feature_name": "", "instances": 97, "metric": 0, "return_statement": 0, "tree_id": 0},
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{"current_level": 5, "leaf_id": "2efbef9f-e767-11ec-8aeb-4ccc6afd6a08", "parents": "2ef4c777-e767-11ec-8b3d-4ccc6afd6a08", "rule": "if obj[5]<=2:", "feature_idx": 5, "feature_name": "Detonation_power_in_m", "instances": 97, "metric": 0.445693177722561, "return_statement": 0, "tree_id": 0},
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{"current_level": 5, "leaf_id": "6c609493-2efd-11ed-bddd-4ccc6afd6a08", "parents": "6c59464a-2efd-11ed-b802-4ccc6afd6a08", "rule": "if obj[5]<=2:", "feature_idx": 5, "feature_name": "Detonation_power_in_m", "instances": 97, "metric": 0.445693177722561, "return_statement": 0, "tree_id": 0},
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{"current_level": 6, "leaf_id": "2eff6e8b-e767-11ec-a0f6-4ccc6afd6a08", "parents": "2efbef9f-e767-11ec-8aeb-4ccc6afd6a08", "rule": "else: return 'defuse'", "feature_idx": -1, "feature_name": "", "instances": 65, "metric": 0, "return_statement": 0, "tree_id": 0},
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{"current_level": 6, "leaf_id": "6c641cce-2efd-11ed-853e-4ccc6afd6a08", "parents": "6c609493-2efd-11ed-bddd-4ccc6afd6a08", "rule": "else: return 'defuse'", "feature_idx": -1, "feature_name": "", "instances": 65, "metric": 0, "return_statement": 0, "tree_id": 0},
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{"current_level": 6, "leaf_id": "2f003159-e767-11ec-bc64-4ccc6afd6a08", "parents": "2efbef9f-e767-11ec-8aeb-4ccc6afd6a08", "rule": "if obj[0]>3:", "feature_idx": 0, "feature_name": "Size(bigger_more_difficult)", "instances": 65, "metric": 0.33352200393097664, "return_statement": 0, "tree_id": 0},
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{"current_level": 6, "leaf_id": "6c64df99-2efd-11ed-92e7-4ccc6afd6a08", "parents": "6c609493-2efd-11ed-bddd-4ccc6afd6a08", "rule": "if obj[0]>3:", "feature_idx": 0, "feature_name": "Size(bigger_more_difficult)", "instances": 65, "metric": 0.33352200393097664, "return_statement": 0, "tree_id": 0},
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{"current_level": 7, "leaf_id": "2f00315a-e767-11ec-b1ab-4ccc6afd6a08", "parents": "2f003159-e767-11ec-bc64-4ccc6afd6a08", "rule": "return 'defuse'", "feature_idx": 0, "feature_name": "Size(bigger_more_difficult)", "instances": 65, "metric": 0, "return_statement": 1, "tree_id": 0},
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{"current_level": 7, "leaf_id": "6c64df9a-2efd-11ed-8b1f-4ccc6afd6a08", "parents": "6c64df99-2efd-11ed-92e7-4ccc6afd6a08", "rule": "return 'defuse'", "feature_idx": 0, "feature_name": "Size(bigger_more_difficult)", "instances": 65, "metric": 0, "return_statement": 1, "tree_id": 0},
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{"current_level": 6, "leaf_id": "2f09062d-e767-11ec-bec0-4ccc6afd6a08", "parents": "2efbef9f-e767-11ec-8aeb-4ccc6afd6a08", "rule": "if obj[0]<=3:", "feature_idx": 0, "feature_name": "Size(bigger_more_difficult)", "instances": 65, "metric": 0.33352200393097664, "return_statement": 0, "tree_id": 0},
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{"current_level": 6, "leaf_id": "6c6d8c35-2efd-11ed-98ee-4ccc6afd6a08", "parents": "6c609493-2efd-11ed-bddd-4ccc6afd6a08", "rule": "if obj[0]<=3:", "feature_idx": 0, "feature_name": "Size(bigger_more_difficult)", "instances": 65, "metric": 0.33352200393097664, "return_statement": 0, "tree_id": 0},
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{"current_level": 7, "leaf_id": "2f09062e-e767-11ec-b567-4ccc6afd6a08", "parents": "2f09062d-e767-11ec-bec0-4ccc6afd6a08", "rule": "return 'defuse'", "feature_idx": 0, "feature_name": "Size(bigger_more_difficult)", "instances": 65, "metric": 0, "return_statement": 1, "tree_id": 0},
|
{"current_level": 7, "leaf_id": "6c6d8c36-2efd-11ed-9fff-4ccc6afd6a08", "parents": "6c6d8c35-2efd-11ed-98ee-4ccc6afd6a08", "rule": "return 'defuse'", "feature_idx": 0, "feature_name": "Size(bigger_more_difficult)", "instances": 65, "metric": 0, "return_statement": 1, "tree_id": 0},
|
||||||
{"current_level": 5, "leaf_id": "2f1a3992-e767-11ec-bcb8-4ccc6afd6a08", "parents": "2ef4c777-e767-11ec-8b3d-4ccc6afd6a08", "rule": "if obj[5]>2:", "feature_idx": 5, "feature_name": "Detonation_power_in_m", "instances": 97, "metric": 0.445693177722561, "return_statement": 0, "tree_id": 0},
|
{"current_level": 5, "leaf_id": "6c7e7094-2efd-11ed-8453-4ccc6afd6a08", "parents": "6c59464a-2efd-11ed-b802-4ccc6afd6a08", "rule": "if obj[5]>2:", "feature_idx": 5, "feature_name": "Detonation_power_in_m", "instances": 97, "metric": 0.445693177722561, "return_statement": 0, "tree_id": 0},
|
||||||
{"current_level": 6, "leaf_id": "2f1df45d-e767-11ec-9b1a-4ccc6afd6a08", "parents": "2f1a3992-e767-11ec-bcb8-4ccc6afd6a08", "rule": "else: return 'defuse'", "feature_idx": -1, "feature_name": "", "instances": 32, "metric": 0, "return_statement": 0, "tree_id": 0},
|
{"current_level": 6, "leaf_id": "6c81c9ac-2efd-11ed-a8fb-4ccc6afd6a08", "parents": "6c7e7094-2efd-11ed-8453-4ccc6afd6a08", "rule": "else: return 'defuse'", "feature_idx": -1, "feature_name": "", "instances": 32, "metric": 0, "return_statement": 0, "tree_id": 0},
|
||||||
{"current_level": 6, "leaf_id": "2f1e9032-e767-11ec-8145-4ccc6afd6a08", "parents": "2f1a3992-e767-11ec-bcb8-4ccc6afd6a08", "rule": "if obj[0]<=7:", "feature_idx": 0, "feature_name": "Size(bigger_more_difficult)", "instances": 32, "metric": 0.6252624052234231, "return_statement": 0, "tree_id": 0},
|
{"current_level": 6, "leaf_id": "6c828c78-2efd-11ed-846f-4ccc6afd6a08", "parents": "6c7e7094-2efd-11ed-8453-4ccc6afd6a08", "rule": "if obj[0]<=7:", "feature_idx": 0, "feature_name": "Size(bigger_more_difficult)", "instances": 32, "metric": 0.6252624052234231, "return_statement": 0, "tree_id": 0},
|
||||||
{"current_level": 7, "leaf_id": "2f1e9033-e767-11ec-ae84-4ccc6afd6a08", "parents": "2f1e9032-e767-11ec-8145-4ccc6afd6a08", "rule": "return 'defuse'", "feature_idx": 0, "feature_name": "Size(bigger_more_difficult)", "instances": 32, "metric": 0, "return_statement": 1, "tree_id": 0},
|
{"current_level": 7, "leaf_id": "6c828c79-2efd-11ed-8614-4ccc6afd6a08", "parents": "6c828c78-2efd-11ed-846f-4ccc6afd6a08", "rule": "return 'defuse'", "feature_idx": 0, "feature_name": "Size(bigger_more_difficult)", "instances": 32, "metric": 0, "return_statement": 1, "tree_id": 0},
|
||||||
{"current_level": 6, "leaf_id": "2f273cd1-e767-11ec-9821-4ccc6afd6a08", "parents": "2f1a3992-e767-11ec-bcb8-4ccc6afd6a08", "rule": "if obj[0]>7:", "feature_idx": 0, "feature_name": "Size(bigger_more_difficult)", "instances": 32, "metric": 0.6252624052234231, "return_statement": 0, "tree_id": 0},
|
{"current_level": 6, "leaf_id": "6c8aeb2a-2efd-11ed-b3e2-4ccc6afd6a08", "parents": "6c7e7094-2efd-11ed-8453-4ccc6afd6a08", "rule": "if obj[0]>7:", "feature_idx": 0, "feature_name": "Size(bigger_more_difficult)", "instances": 32, "metric": 0.6252624052234231, "return_statement": 0, "tree_id": 0},
|
||||||
{"current_level": 7, "leaf_id": "2f273cd2-e767-11ec-96af-4ccc6afd6a08", "parents": "2f273cd1-e767-11ec-9821-4ccc6afd6a08", "rule": "return 'defuse'", "feature_idx": 0, "feature_name": "Size(bigger_more_difficult)", "instances": 32, "metric": 0, "return_statement": 1, "tree_id": 0},
|
{"current_level": 7, "leaf_id": "6c8aeb2b-2efd-11ed-bc1a-4ccc6afd6a08", "parents": "6c8aeb2a-2efd-11ed-b3e2-4ccc6afd6a08", "rule": "return 'defuse'", "feature_idx": 0, "feature_name": "Size(bigger_more_difficult)", "instances": 32, "metric": 0, "return_statement": 1, "tree_id": 0},
|
||||||
{"current_level": 4, "leaf_id": "2f4108be-e767-11ec-bfcb-4ccc6afd6a08", "parents": "2eea9544-e767-11ec-9dee-4ccc6afd6a08", "rule": "if obj[1]>1997.8794790831414:", "feature_idx": 1, "feature_name": "Year(older_more_difficult)", "instances": 116, "metric": 0.3936164041111624, "return_statement": 0, "tree_id": 0},
|
{"current_level": 4, "leaf_id": "6ca47c29-2efd-11ed-97d3-4ccc6afd6a08", "parents": "6c4f30b9-2efd-11ed-84b6-4ccc6afd6a08", "rule": "if obj[1]>1997.8794790831414:", "feature_idx": 1, "feature_name": "Year(older_more_difficult)", "instances": 116, "metric": 0.3936164041111624, "return_statement": 0, "tree_id": 0},
|
||||||
{"current_level": 5, "leaf_id": "2f4108bf-e767-11ec-aecd-4ccc6afd6a08", "parents": "2f4108be-e767-11ec-bfcb-4ccc6afd6a08", "rule": "return 'defuse'", "feature_idx": 1, "feature_name": "Year(older_more_difficult)", "instances": 116, "metric": 0, "return_statement": 1, "tree_id": 0},
|
{"current_level": 5, "leaf_id": "6ca47c2a-2efd-11ed-9f03-4ccc6afd6a08", "parents": "6ca47c29-2efd-11ed-97d3-4ccc6afd6a08", "rule": "return 'defuse'", "feature_idx": 1, "feature_name": "Year(older_more_difficult)", "instances": 116, "metric": 0, "return_statement": 1, "tree_id": 0},
|
||||||
{"current_level": 3, "leaf_id": "2f52d6df-e767-11ec-ac3e-4ccc6afd6a08", "parents": "2edd09e1-e767-11ec-b87c-4ccc6afd6a08", "rule": "if obj[3]>7:", "feature_idx": 3, "feature_name": "Meters_under_the_ground", "instances": 135, "metric": 0.7364977795505669, "return_statement": 0, "tree_id": 0},
|
{"current_level": 3, "leaf_id": "6cb56086-2efd-11ed-89bd-4ccc6afd6a08", "parents": "6c41c121-2efd-11ed-ac61-4ccc6afd6a08", "rule": "if obj[3]>7:", "feature_idx": 3, "feature_name": "Meters_under_the_ground", "instances": 135, "metric": 0.7364977795505669, "return_statement": 0, "tree_id": 0},
|
||||||
{"current_level": 4, "leaf_id": "2f52d6e0-e767-11ec-b6e4-4ccc6afd6a08", "parents": "2f52d6df-e767-11ec-ac3e-4ccc6afd6a08", "rule": "return 'detonate'", "feature_idx": 3, "feature_name": "Meters_under_the_ground", "instances": 135, "metric": 0, "return_statement": 1, "tree_id": 0},
|
{"current_level": 4, "leaf_id": "6cb56087-2efd-11ed-ab67-4ccc6afd6a08", "parents": "6cb56086-2efd-11ed-89bd-4ccc6afd6a08", "rule": "return 'detonate'", "feature_idx": 3, "feature_name": "Meters_under_the_ground", "instances": 135, "metric": 0, "return_statement": 1, "tree_id": 0},
|
||||||
{"current_level": 2, "leaf_id": "2f6567d1-e767-11ec-ae72-4ccc6afd6a08", "parents": "2ececefd-e767-11ec-804a-4ccc6afd6a08", "rule": "if obj[2]>0:", "feature_idx": 2, "feature_name": "Protection_from_defuse", "instances": 161, "metric": 0.9203523274205176, "return_statement": 0, "tree_id": 0},
|
{"current_level": 2, "leaf_id": "6cc644e4-2efd-11ed-9561-4ccc6afd6a08", "parents": "6c3375b0-2efd-11ed-a86e-4ccc6afd6a08", "rule": "if obj[2]>0:", "feature_idx": 2, "feature_name": "Protection_from_defuse", "instances": 161, "metric": 0.9203523274205176, "return_statement": 0, "tree_id": 0},
|
||||||
{"current_level": 3, "leaf_id": "2f6567d2-e767-11ec-b1b8-4ccc6afd6a08", "parents": "2f6567d1-e767-11ec-ae72-4ccc6afd6a08", "rule": "return 'detonate'", "feature_idx": 2, "feature_name": "Protection_from_defuse", "instances": 161, "metric": 0, "return_statement": 1, "tree_id": 0},
|
{"current_level": 3, "leaf_id": "6cc644e5-2efd-11ed-99f9-4ccc6afd6a08", "parents": "6cc644e4-2efd-11ed-9561-4ccc6afd6a08", "rule": "return 'detonate'", "feature_idx": 2, "feature_name": "Protection_from_defuse", "instances": 161, "metric": 0, "return_statement": 1, "tree_id": 0},
|
||||||
{"current_level": 1, "leaf_id": "2f793070-e767-11ec-9adb-4ccc6afd6a08", "parents": "root", "rule": "if obj[4]>80.67436609605278:", "feature_idx": 4, "feature_name": "Random_detonation_chance", "instances": 200, "metric": 0.9964625048848765, "return_statement": 0, "tree_id": 0},
|
{"current_level": 1, "leaf_id": "6cd72945-2efd-11ed-a270-4ccc6afd6a08", "parents": "root", "rule": "if obj[4]>80.67436609605278:", "feature_idx": 4, "feature_name": "Random_detonation_chance", "instances": 200, "metric": 0.9964625048848765, "return_statement": 0, "tree_id": 0},
|
||||||
{"current_level": 2, "leaf_id": "2f793071-e767-11ec-9798-4ccc6afd6a08", "parents": "2f793070-e767-11ec-9adb-4ccc6afd6a08", "rule": "return 'detonate'", "feature_idx": 4, "feature_name": "Random_detonation_chance", "instances": 200, "metric": 0, "return_statement": 1, "tree_id": 0}
|
{"current_level": 2, "leaf_id": "6cd72946-2efd-11ed-a940-4ccc6afd6a08", "parents": "6cd72945-2efd-11ed-a270-4ccc6afd6a08", "rule": "return 'detonate'", "feature_idx": 4, "feature_name": "Random_detonation_chance", "instances": 200, "metric": 0, "return_statement": 1, "tree_id": 0}
|
||||||
]
|
]
|
||||||
Loading…
Reference in New Issue
Block a user