Moravec 1969

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   36  0.338  0.0216  0.1218  0.4619  0.4912  0.47
Anderszewski 2003   67  0.2572  0.0065  0.0466  0.0428  0.3153  0.11
Ashkenazy 1981   3  0.484  0.043  0.183  0.7022  0.626  0.66
Bacha 2000   72  0.2358  0.0075  0.0465  0.0451  0.0667  0.05
Badura 1965   49  0.2944  0.0061  0.0464  0.0433  0.2954  0.11
Barbosa 1983   76  0.2141  0.0080  0.0469  0.0482  0.0384  0.03
Biret 1990   82  0.1980  0.0079  0.0551  0.0550  0.0766  0.06
Blet 2003   46  0.3063  0.0045  0.0455  0.0445  0.0965  0.06
Block 1995   20  0.3726  0.0014  0.1217  0.4730  0.4114  0.44
Blumental 1952   31  0.3432  0.0022  0.0723  0.3621  0.5016  0.42
Boshniakovich 1969   86  0.1287  0.0083  0.0285  0.0285  0.0390  0.02
Brailowsky 1960   45  0.3143  0.0051  0.0645  0.0630  0.4039  0.15
Bunin 1987   39  0.3325  0.0043  0.0643  0.1238  0.1744  0.14
Bunin 1987b   34  0.3422  0.0142  0.0640  0.1338  0.1840  0.15
Chiu 1999   10  0.417  0.0215  0.1514  0.5137  0.2621  0.36
Cohen 1997   55  0.2882  0.0062  0.0456  0.0438  0.2556  0.10
Cortot 1951   71  0.2454  0.0074  0.0476  0.0439  0.2058  0.09
Csalog 1996   69  0.2484  0.0072  0.0467  0.0445  0.0864  0.06
Czerny 1949   11  0.405  0.036  0.185  0.698  0.831  0.76
Czerny 1990   6  0.453  0.075  0.1810  0.5621  0.658  0.60
Duchoud 2007   17  0.3930  0.0021  0.0719  0.4129  0.3518  0.38
Ezaki 2006   51  0.2873  0.0047  0.0547  0.0530  0.3741  0.14
Falvay 1989   9  0.4124  0.0017  0.1015  0.4810  0.4911  0.48
Farrell 1958   30  0.3464  0.0040  0.0738  0.1719  0.4626  0.28
Ferenczy 1958   74  0.2369  0.0078  0.0549  0.0530  0.5836  0.17
Fliere 1977   33  0.3481  0.0048  0.0552  0.0550  0.0761  0.06
Fou 1978   15  0.3929  0.0019  0.1016  0.4729  0.3617  0.41
Francois 1956   37  0.3318  0.0126  0.0630  0.2622  0.5420  0.37
Friedman 1923   52  0.2870  0.0069  0.0379  0.0363  0.0681  0.04
Friedman 1923b   54  0.2876  0.0070  0.0453  0.0459  0.0774  0.05
Friedman 1930   53  0.2888  0.0066  0.0460  0.0459  0.0671  0.05
Garcia 2007   66  0.2659  0.0073  0.0474  0.0453  0.0673  0.05
Garcia 2007b   84  0.1689  0.0060  0.0462  0.0452  0.0775  0.05
Gierzod 1998   81  0.1933  0.0077  0.0471  0.0453  0.0672  0.05
Gornostaeva 1994   61  0.2734  0.0027  0.0639  0.1733  0.3528  0.24
Groot 1988   18  0.399  0.0210  0.1413  0.5231  0.2522  0.36
Harasiewicz 1955   1  0.501  0.431  0.421  0.774  0.674  0.72
Hatto 1993   21  0.3746  0.0020  0.0724  0.3651  0.0935  0.18
Hatto 1997   43  0.3235  0.0034  0.0932  0.2543  0.1334  0.18
Horowitz 1949   27  0.3517  0.0138  0.0735  0.1943  0.1733  0.18
Indjic 1988   32  0.3453  0.0033  0.1028  0.2859  0.0647  0.13
Kapell 1951   40  0.3337  0.0052  0.0550  0.0566  0.0569  0.05
Kissin 1993   22  0.3677  0.0031  0.0827  0.3235  0.4319  0.37
Kushner 1989   16  0.3913  0.0124  0.0622  0.3633  0.2824  0.32
Luisada 1991   24  0.3547  0.0039  0.0734  0.2152  0.0750  0.12
Lushtak 2004   75  0.2145  0.0081  0.0381  0.0372  0.0486  0.03
Malcuzynski 1961   38  0.3327  0.0044  0.0544  0.1044  0.1055  0.10
Magaloff 1978   78  0.2074  0.0071  0.0377  0.0361  0.0576  0.04
Magin 1975   62  0.2760  0.0056  0.0463  0.0452  0.0862  0.06
Michalowski 1933   35  0.3438  0.0035  0.0831  0.2540  0.2230  0.23
Milkina 1970   12  0.4023  0.017  0.157  0.655  0.705  0.67
Mohovich 1999   77  0.2075  0.0076  0.0380  0.0366  0.0487  0.03
Moravec 1969   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Morozova 2008   29  0.3548  0.0030  0.0925  0.3336  0.1827  0.24
Neighaus 1950   28  0.3515  0.0111  0.1012  0.5236  0.2323  0.35
Niedzielski 1931   25  0.3510  0.0232  0.0929  0.2843  0.1432  0.20
Ohlsson 1999   14  0.3914  0.0113  0.119  0.5920  0.4210  0.50
Osinska 1989   65  0.2690  0.0064  0.0475  0.0442  0.1160  0.07
Pachmann 1927   83  0.1983  0.0082  0.0383  0.0375  0.0483  0.03
Paderewski 1930   70  0.2455  0.0059  0.0457  0.0448  0.0770  0.05
Perlemuter 1992   68  0.2561  0.0063  0.0378  0.0368  0.0482  0.03
Pierdomenico 2008   44  0.3131  0.0023  0.0733  0.2223  0.3725  0.29
Poblocka 1999   57  0.2850  0.0057  0.0461  0.0446  0.0668  0.05
Rabcewiczowa 1932   73  0.2351  0.0067  0.0473  0.0434  0.2952  0.11
Rachmaninoff 1923   2  0.482  0.122  0.204  0.706  0.743  0.72
Rangell 2001   48  0.3036  0.0058  0.0468  0.0452  0.0580  0.04
Richter 1976   26  0.3565  0.0049  0.0546  0.0550  0.0763  0.06
Rosen 1989   60  0.2721  0.0125  0.0637  0.1842  0.1438  0.16
Rosenthal 1930   13  0.4012  0.0218  0.1020  0.3814  0.5613  0.46
Rosenthal 1931   63  0.2739  0.0055  0.0472  0.0429  0.5043  0.14
Rosenthal 1931b   58  0.2879  0.0068  0.0470  0.0430  0.4548  0.13
Rosenthal 1931c   42  0.3378  0.0046  0.0454  0.0423  0.4846  0.14
Rosenthal 1931d   56  0.2867  0.0054  0.0458  0.0419  0.4645  0.14
Rossi 2007   90  -0.0485  0.0089  0.0189  0.0168  0.0489  0.02
Rubinstein 1939   4  0.486  0.024  0.172  0.762  0.742  0.75
Rubinstein 1952   47  0.3042  0.0041  0.0741  0.1239  0.1449  0.13
Rubinstein 1966   23  0.3616  0.0128  0.0626  0.3336  0.1531  0.22
Schilhawsky 1960   85  0.1556  0.0084  0.0287  0.0252  0.0585  0.03
Shebanova 2002   19  0.3866  0.0029  0.0721  0.3856  0.0837  0.17
Smith 1975   64  0.2619  0.0136  0.0742  0.1224  0.4429  0.23
Sokolov 2002   50  0.2940  0.0050  0.0548  0.0532  0.3051  0.12
Sztompka 1959   7  0.4552  0.008  0.218  0.6518  0.539  0.59
Tomsic 1995   41  0.3320  0.0137  0.0636  0.1941  0.1042  0.14
Uninsky 1932   8  0.4111  0.0212  0.1011  0.5331  0.3315  0.42
Uninsky 1971   59  0.2749  0.0053  0.0459  0.0471  0.0479  0.04
Wasowski 1980   5  0.4628  0.009  0.146  0.6823  0.557  0.61
Zak 1937   79  0.2068  0.0085  0.0286  0.0250  0.0777  0.04
Zak 1951   80  0.2086  0.0086  0.0382  0.0360  0.0578  0.04
Random 1   88  0.0071  0.0088  0.0288  0.0221  0.3159  0.08
Random 2   87  0.0857  0.0087  0.0284  0.0213  0.4457  0.09
Random 3   89  -0.0262  0.0090  0.0190  0.0142  0.0988  0.03

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).