Moravec 1969

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   64  0.3325  0.0052  0.0557  0.0548  0.0671  0.05
Anderszewski 2003   36  0.4052  0.0027  0.0720  0.3721  0.5116  0.43
Ashkenazy 1981   37  0.4084  0.0047  0.0652  0.0640  0.2151  0.11
Bacha 2000   76  0.2958  0.0078  0.0472  0.0449  0.0666  0.05
Badura 1965   77  0.2949  0.0076  0.0381  0.0378  0.0385  0.03
Barbosa 1983   33  0.4168  0.0038  0.0537  0.2257  0.0648  0.11
Biret 1990   65  0.3373  0.0063  0.0565  0.0547  0.0764  0.06
Blet 2003   63  0.3474  0.0062  0.0467  0.0452  0.0577  0.04
Block 1995   19  0.4322  0.008  0.1211  0.4923  0.4814  0.48
Blumental 1952   7  0.4611  0.016  0.246  0.639  0.674  0.65
Boshniakovich 1969   74  0.3072  0.0064  0.0468  0.0448  0.0772  0.05
Brailowsky 1960   24  0.4253  0.0023  0.0623  0.3323  0.5217  0.41
Bunin 1987   42  0.3833  0.0053  0.0563  0.0532  0.2947  0.12
Bunin 1987b   43  0.3869  0.0054  0.0561  0.0533  0.3145  0.12
Chiu 1999   34  0.417  0.0111  0.0933  0.3021  0.3425  0.32
Cohen 1997   67  0.3231  0.0069  0.0556  0.0551  0.0673  0.05
Cortot 1951   86  0.2388  0.0081  0.0284  0.0263  0.0587  0.03
Csalog 1996   55  0.3679  0.0060  0.0469  0.0435  0.1657  0.08
Czerny 1949   14  0.444  0.027  0.197  0.5713  0.725  0.64
Czerny 1990   4  0.513  0.054  0.353  0.6820  0.661  0.67
Duchoud 2007   78  0.2980  0.0082  0.0286  0.0251  0.0683  0.03
Ezaki 2006   12  0.4423  0.0014  0.0910  0.5025  0.5010  0.50
Falvay 1989   3  0.532  0.063  0.224  0.686  0.586  0.63
Farrell 1958   45  0.3870  0.0055  0.0558  0.0534  0.2152  0.10
Ferenczy 1958   58  0.3640  0.0061  0.0654  0.0617  0.6737  0.20
Fliere 1977   10  0.4550  0.0013  0.0815  0.4747  0.1036  0.22
Fou 1978   17  0.4334  0.0021  0.0729  0.3233  0.3126  0.31
Francois 1956   81  0.2759  0.0071  0.0377  0.0334  0.2058  0.08
Friedman 1923   82  0.2632  0.0084  0.0288  0.0271  0.0488  0.03
Friedman 1923b   83  0.2664  0.0085  0.0376  0.0374  0.0486  0.03
Friedman 1930   80  0.2890  0.0070  0.0474  0.0466  0.0478  0.04
Garcia 2007   73  0.3071  0.0073  0.0375  0.0368  0.0484  0.03
Garcia 2007b   75  0.2991  0.0075  0.0379  0.0366  0.0579  0.04
Gierzod 1998   44  0.388  0.0144  0.0543  0.1345  0.1050  0.11
Gornostaeva 1994   41  0.3936  0.0020  0.0727  0.3329  0.4221  0.37
Groot 1988   29  0.4142  0.0030  0.0722  0.3639  0.1734  0.25
Harasiewicz 1955   2  0.535  0.022  0.432  0.759  0.583  0.66
Hatto 1993   13  0.4477  0.0016  0.0916  0.4443  0.1531  0.26
Hatto 1997   28  0.429  0.0128  0.0619  0.3832  0.2527  0.31
Horowitz 1949   59  0.3666  0.0066  0.0466  0.0431  0.3746  0.12
Indjic 1988   25  0.4241  0.0029  0.0821  0.3742  0.1733  0.25
Kapell 1951   11  0.4524  0.0024  0.0831  0.3237  0.2130  0.26
Kissin 1993   18  0.4327  0.0034  0.0928  0.3330  0.4819  0.40
Kushner 1989   8  0.4628  0.0017  0.1012  0.4938  0.1828  0.30
Luisada 1991   31  0.4162  0.0040  0.0644  0.1162  0.0655  0.08
Lushtak 2004   60  0.3539  0.0065  0.0562  0.0543  0.0761  0.06
Malcuzynski 1961   23  0.4320  0.0015  0.0917  0.4434  0.3320  0.38
Magaloff 1978   53  0.3626  0.0045  0.0645  0.1160  0.0459  0.07
Magin 1975   50  0.3755  0.0059  0.0564  0.0551  0.0667  0.05
Michalowski 1933   84  0.2547  0.0074  0.0382  0.0346  0.0869  0.05
Milkina 1970   5  0.4654  0.005  0.235  0.6611  0.672  0.66
Mohovich 1999   52  0.376  0.0146  0.0747  0.0759  0.0562  0.06
Moravec 1969   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Morozova 2008   54  0.3665  0.0057  0.0559  0.0561  0.0570  0.05
Neighaus 1950   69  0.3043  0.0068  0.0746  0.0752  0.0565  0.06
Niedzielski 1931   61  0.3537  0.0049  0.0649  0.0623  0.3544  0.14
Ohlsson 1999   48  0.3781  0.0056  0.0655  0.0662  0.0468  0.05
Osinska 1989   39  0.3978  0.0043  0.0642  0.1469  0.0556  0.08
Pachmann 1927   85  0.2582  0.0087  0.0471  0.0471  0.0476  0.04
Paderewski 1930   87  0.2086  0.0080  0.0383  0.0355  0.0575  0.04
Perlemuter 1992   68  0.3167  0.0072  0.0380  0.0375  0.0480  0.03
Pierdomenico 2008   70  0.3061  0.0079  0.0470  0.0449  0.0574  0.04
Poblocka 1999   21  0.4335  0.0031  0.0725  0.3332  0.3124  0.32
Rabcewiczowa 1932   46  0.3729  0.0041  0.0639  0.1931  0.3929  0.27
Rachmaninoff 1923   20  0.4310  0.0110  0.119  0.516  0.627  0.56
Rangell 2001   51  0.3719  0.0067  0.0651  0.0650  0.0663  0.06
Richter 1976   35  0.4085  0.0039  0.0640  0.1843  0.1840  0.18
Rosen 1989   47  0.3756  0.0025  0.0738  0.2137  0.1838  0.19
Rosenthal 1930   16  0.4312  0.0132  0.0726  0.3310  0.7312  0.49
Rosenthal 1931   49  0.3721  0.0022  0.0634  0.2716  0.6318  0.41
Rosenthal 1931b   62  0.3551  0.0050  0.0650  0.0619  0.5839  0.19
Rosenthal 1931c   32  0.4116  0.0119  0.0818  0.4111  0.6111  0.50
Rosenthal 1931d   66  0.3357  0.0058  0.0560  0.0515  0.5242  0.16
Rossi 2007   88  0.1389  0.0088  0.0289  0.0273  0.0389  0.02
Rubinstein 1939   9  0.4517  0.0012  0.098  0.5410  0.568  0.55
Rubinstein 1952   38  0.4015  0.0151  0.0653  0.0647  0.0860  0.07
Rubinstein 1966   15  0.4463  0.0026  0.0624  0.3357  0.0743  0.15
Schilhawsky 1960   79  0.2845  0.0077  0.0378  0.0371  0.0482  0.03
Shebanova 2002   26  0.4213  0.0133  0.0735  0.2673  0.0549  0.11
Smith 1975   56  0.3618  0.0048  0.0748  0.0725  0.4241  0.17
Sokolov 2002   57  0.3646  0.0042  0.0541  0.1525  0.4232  0.25
Sztompka 1959   30  0.4144  0.0036  0.0832  0.3130  0.3723  0.34
Tomsic 1995   22  0.4338  0.0035  0.0830  0.3221  0.3922  0.35
Uninsky 1932   27  0.4214  0.019  0.1314  0.4719  0.5013  0.48
Uninsky 1971   40  0.3948  0.0037  0.0836  0.2437  0.2335  0.23
Wasowski 1980   6  0.4630  0.0018  0.1213  0.4728  0.4115  0.44
Zak 1937   72  0.3076  0.0086  0.0473  0.0488  0.0381  0.03
Zak 1951   71  0.3083  0.0083  0.0285  0.0282  0.0390  0.02
Average   1  0.631  0.701  0.691  0.8734  0.319  0.52
Random 1   90  -0.0360  0.0090  0.0290  0.028  0.4754  0.10
Random 2   89  0.0775  0.0089  0.0287  0.025  0.4953  0.10
Random 3   91  -0.1287  0.0091  0.0191  0.0187  0.0291  0.01

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).