Moravec 1969

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   11  0.5916  0.0123  0.0722  0.3235  0.1624  0.23
Anderszewski 2003   69  0.3728  0.0049  0.0549  0.0545  0.1049  0.07
Ashkenazy 1981   18  0.551  0.171  0.174  0.6222  0.368  0.47
Bacha 2000   60  0.4170  0.0068  0.0473  0.0453  0.0561  0.04
Badura 1965   57  0.4432  0.0040  0.0438  0.1241  0.1533  0.13
Barbosa 1983   67  0.3882  0.0076  0.0377  0.0375  0.0478  0.03
Biret 1990   41  0.4787  0.0048  0.0551  0.0539  0.1641  0.09
Blet 2003   42  0.4783  0.0067  0.0458  0.0476  0.0467  0.04
Block 1995   44  0.4651  0.0062  0.0461  0.0450  0.0469  0.04
Blumental 1952   52  0.458  0.056  0.128  0.502  0.603  0.55
Boshniakovich 1969   74  0.3585  0.0080  0.0553  0.0585  0.0282  0.03
Brailowsky 1960   46  0.4662  0.0058  0.0468  0.0437  0.1542  0.08
Bunin 1987   72  0.3730  0.0082  0.0375  0.0383  0.0384  0.03
Bunin 1987b   70  0.3733  0.0081  0.0380  0.0385  0.0376  0.03
Chiu 1999   66  0.3848  0.0041  0.0440  0.1238  0.2030  0.15
Cohen 1997   80  0.2849  0.0077  0.0379  0.0368  0.0483  0.03
Cortot 1951   29  0.5118  0.0126  0.0820  0.3410  0.4912  0.41
Csalog 1996   28  0.5146  0.0033  0.0631  0.1925  0.3722  0.27
Czerny 1949   6  0.622  0.132  0.143  0.656  0.731  0.69
Czerny 1990   2  0.6610  0.034  0.162  0.6611  0.512  0.58
Duchoud 2007   30  0.5060  0.0047  0.0457  0.0446  0.0856  0.06
Ezaki 2006   38  0.4775  0.0052  0.0556  0.0551  0.0557  0.05
Falvay 1989   9  0.6015  0.0120  0.0815  0.4023  0.2817  0.33
Farrell 1958   45  0.4667  0.0065  0.0376  0.0351  0.0475  0.03
Ferenczy 1958   55  0.4435  0.0030  0.0735  0.1438  0.1432  0.14
Fliere 1977   32  0.5059  0.0051  0.0550  0.0549  0.0658  0.05
Fou 1978   59  0.4240  0.0057  0.0463  0.0464  0.0464  0.04
Francois 1956   3  0.6526  0.0114  0.1010  0.4721  0.3710  0.42
Friedman 1923   86  0.0964  0.0086  0.0284  0.0275  0.0487  0.03
Friedman 1923b   85  0.1071  0.0085  0.0288  0.0279  0.0391  0.02
Friedman 1930   83  0.2473  0.0056  0.0554  0.0542  0.1245  0.08
Garcia 2007   84  0.1784  0.0084  0.0285  0.0259  0.0480  0.03
Garcia 2007b   89  0.0388  0.0087  0.0287  0.0261  0.0486  0.03
Gierzod 1998   17  0.5621  0.0117  0.1012  0.4318  0.3414  0.38
Gornostaeva 1994   34  0.4931  0.0036  0.0439  0.1260  0.0451  0.07
Groot 1988   16  0.5756  0.0031  0.0729  0.2069  0.0346  0.08
Harasiewicz 1955   62  0.4119  0.0128  0.0727  0.2563  0.0439  0.10
Hatto 1993   79  0.3065  0.0035  0.0536  0.1343  0.1134  0.12
Hatto 1997   75  0.3452  0.0045  0.0445  0.0850  0.0555  0.06
Horowitz 1949   10  0.596  0.0610  0.087  0.518  0.507  0.50
Indjic 1988   78  0.3263  0.0046  0.0746  0.0749  0.0554  0.06
Kapell 1951   5  0.6320  0.0116  0.1018  0.3829  0.3715  0.37
Kissin 1993   15  0.5722  0.0115  0.109  0.4820  0.379  0.42
Kushner 1989   7  0.6125  0.0113  0.0913  0.4316  0.4011  0.41
Luisada 1991   43  0.4650  0.0019  0.1028  0.2338  0.1626  0.19
Lushtak 2004   73  0.3558  0.0070  0.0469  0.0479  0.0381  0.03
Malcuzynski 1961   8  0.6142  0.0022  0.0919  0.3745  0.1027  0.19
Magaloff 1978   36  0.4878  0.0061  0.0467  0.0479  0.0374  0.03
Magin 1975   71  0.3789  0.0050  0.0647  0.0648  0.0653  0.06
Michalowski 1933   81  0.2741  0.0054  0.0555  0.0545  0.1148  0.07
Milkina 1970   4  0.6313  0.027  0.096  0.537  0.476  0.50
Mohovich 1999   49  0.4579  0.0073  0.0465  0.0467  0.0470  0.04
Moravec 1969   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Morozova 2008   54  0.4429  0.0011  0.0826  0.2919  0.3120  0.30
Neighaus 1950   40  0.4739  0.0042  0.0541  0.1172  0.0452  0.07
Niedzielski 1931   14  0.585  0.069  0.0811  0.441  0.644  0.53
Ohlsson 1999   19  0.5414  0.0118  0.0716  0.3827  0.2419  0.30
Osinska 1989   12  0.5874  0.0021  0.0814  0.4221  0.3016  0.35
Pachmann 1927   82  0.2490  0.0083  0.0383  0.0383  0.0289  0.02
Paderewski 1930   31  0.5023  0.0129  0.0730  0.2051  0.0538  0.10
Perlemuter 1992   65  0.3955  0.0074  0.0552  0.0568  0.0462  0.04
Pierdomenico 2008   64  0.3924  0.0144  0.0544  0.0921  0.2631  0.15
Poblocka 1999   22  0.5327  0.0027  0.0825  0.3067  0.0435  0.11
Rabcewiczowa 1932   61  0.4169  0.0069  0.0374  0.0354  0.0563  0.04
Rachmaninoff 1923   33  0.509  0.0512  0.1017  0.3818  0.3913  0.38
Rangell 2001   50  0.4553  0.0063  0.0381  0.0367  0.0385  0.03
Richter 1976   53  0.4586  0.0071  0.0471  0.0460  0.0465  0.04
Rosen 1989   48  0.4672  0.0055  0.0648  0.0664  0.0459  0.05
Rosenthal 1930   35  0.4936  0.0053  0.0462  0.0436  0.2837  0.11
Rosenthal 1931   76  0.3368  0.0079  0.0459  0.0455  0.0466  0.04
Rosenthal 1931b   77  0.3280  0.0078  0.0382  0.0353  0.0572  0.04
Rosenthal 1931c   47  0.4643  0.0066  0.0470  0.0451  0.0573  0.04
Rosenthal 1931d   63  0.4044  0.0075  0.0460  0.0453  0.0471  0.04
Rossi 2007   87  0.0891  0.0089  0.0290  0.0271  0.0388  0.02
Rubinstein 1939   68  0.3717  0.0159  0.0464  0.0426  0.3336  0.11
Rubinstein 1952   21  0.5311  0.0234  0.0533  0.1734  0.1829  0.17
Rubinstein 1966   27  0.5138  0.0060  0.0466  0.0466  0.0568  0.04
Schilhawsky 1960   56  0.4466  0.0064  0.0378  0.0363  0.0479  0.03
Shebanova 2002   13  0.587  0.055  0.125  0.5511  0.505  0.52
Smith 1975   39  0.4761  0.0043  0.0543  0.1163  0.0447  0.07
Sokolov 2002   37  0.4747  0.0037  0.0737  0.1358  0.0543  0.08
Sztompka 1959   25  0.524  0.078  0.0823  0.3141  0.1625  0.22
Tomsic 1995   26  0.5137  0.0039  0.0534  0.1560  0.0444  0.08
Uninsky 1932   51  0.4534  0.0038  0.0442  0.1160  0.0550  0.07
Uninsky 1971   58  0.4481  0.0072  0.0472  0.0474  0.0377  0.03
Wasowski 1980   20  0.5445  0.0032  0.0632  0.1819  0.3423  0.25
Zak 1937   23  0.5357  0.0024  0.0721  0.3331  0.2918  0.31
Zak 1951   24  0.5212  0.0225  0.0924  0.3132  0.2621  0.28
Average   1  0.693  0.123  0.191  0.6952  0.0528  0.19
Random 1   91  -0.1076  0.0091  0.0191  0.0172  0.0390  0.02
Random 2   88  0.0554  0.0088  0.0286  0.029  0.4040  0.09
Random 3   90  0.0277  0.0090  0.0289  0.0240  0.1460  0.05

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).