Moravec 1969

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   7  0.7124  0.0124  0.0818  0.3639  0.1027  0.19
Anderszewski 2003   71  0.3926  0.0153  0.0370  0.0373  0.0371  0.03
Ashkenazy 1981   37  0.5714  0.033  0.1013  0.4630  0.2514  0.34
Bacha 2000   44  0.5574  0.0039  0.0635  0.1536  0.1630  0.15
Badura 1965   57  0.5033  0.0048  0.0449  0.0448  0.0560  0.04
Barbosa 1983   59  0.4985  0.0071  0.0462  0.0465  0.0455  0.04
Biret 1990   22  0.6355  0.0017  0.0817  0.3937  0.1622  0.25
Blet 2003   32  0.5878  0.0064  0.0456  0.0467  0.0456  0.04
Block 1995   58  0.5081  0.0074  0.0454  0.0459  0.0461  0.04
Blumental 1952   64  0.459  0.048  0.0819  0.355  0.4211  0.38
Boshniakovich 1969   65  0.4444  0.0075  0.0376  0.0382  0.0374  0.03
Brailowsky 1960   48  0.5343  0.0057  0.0457  0.0469  0.0451  0.04
Bunin 1987   70  0.4072  0.0083  0.0280  0.0286  0.0288  0.02
Bunin 1987b   69  0.4079  0.0082  0.0285  0.0286  0.0284  0.02
Chiu 1999   67  0.4365  0.0037  0.0633  0.1837  0.1429  0.16
Cohen 1997   80  0.3051  0.0077  0.0378  0.0356  0.0476  0.03
Cortot 1951   17  0.6518  0.0220  0.0716  0.4219  0.407  0.41
Csalog 1996   23  0.6319  0.0127  0.0828  0.2221  0.3817  0.29
Czerny 1949   10  0.706  0.0610  0.102  0.5815  0.423  0.49
Czerny 1990   3  0.7410  0.049  0.081  0.6133  0.2313  0.37
Duchoud 2007   28  0.6071  0.0038  0.0634  0.1861  0.0439  0.08
Ezaki 2006   42  0.5586  0.0052  0.0373  0.0379  0.0364  0.03
Falvay 1989   11  0.6956  0.0021  0.0811  0.4639  0.1324  0.24
Farrell 1958   33  0.5863  0.0063  0.0455  0.0463  0.0453  0.04
Ferenczy 1958   53  0.5235  0.0031  0.0638  0.1360  0.0442  0.07
Fliere 1977   24  0.6264  0.0040  0.0536  0.1474  0.0343  0.06
Fou 1978   66  0.4447  0.0065  0.0458  0.0465  0.0554  0.04
Francois 1956   2  0.7423  0.0111  0.0815  0.4327  0.2316  0.31
Friedman 1923   89  0.0236  0.0090  0.0287  0.0256  0.0682  0.03
Friedman 1923b   88  0.0375  0.0089  0.0289  0.0267  0.0577  0.03
Friedman 1930   83  0.2238  0.0060  0.0448  0.0455  0.0559  0.04
Garcia 2007   84  0.2187  0.0086  0.0290  0.0272  0.0387  0.02
Garcia 2007b   90  -0.0582  0.0087  0.0288  0.0279  0.0390  0.02
Gierzod 1998   8  0.712  0.082  0.083  0.5411  0.355  0.43
Gornostaeva 1994   39  0.5745  0.0061  0.0464  0.0461  0.0462  0.04
Groot 1988   16  0.6673  0.0047  0.0453  0.0477  0.0379  0.03
Harasiewicz 1955   74  0.3729  0.0054  0.0369  0.0374  0.0380  0.03
Hatto 1993   81  0.2860  0.0033  0.0629  0.2142  0.0931  0.14
Hatto 1997   77  0.3452  0.0036  0.0632  0.1951  0.0435  0.09
Horowitz 1949   21  0.647  0.0519  0.0814  0.4523  0.3112  0.37
Indjic 1988   78  0.3140  0.0034  0.0631  0.2037  0.1428  0.17
Kapell 1951   9  0.7022  0.0125  0.1021  0.3532  0.2915  0.32
Kissin 1993   25  0.6283  0.0023  0.0720  0.3539  0.1821  0.25
Kushner 1989   6  0.7111  0.0414  0.139  0.5020  0.336  0.41
Luisada 1991   54  0.5117  0.0216  0.1024  0.3231  0.2418  0.28
Lushtak 2004   68  0.4269  0.0055  0.0466  0.0477  0.0372  0.03
Malcuzynski 1961   14  0.6830  0.0028  0.0727  0.2482  0.0337  0.08
Magaloff 1978   38  0.5770  0.0062  0.0465  0.0469  0.0366  0.03
Magin 1975   73  0.3741  0.0042  0.0542  0.1065  0.0347  0.05
Michalowski 1933   82  0.2631  0.0056  0.0368  0.0346  0.0748  0.05
Milkina 1970   5  0.7113  0.0312  0.1012  0.4622  0.339  0.39
Mohovich 1999   36  0.5766  0.0069  0.0460  0.0487  0.0375  0.03
Moravec 1969   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Morozova 2008   62  0.4715  0.0313  0.0923  0.3321  0.2020  0.26
Neighaus 1950   45  0.5457  0.0043  0.0444  0.0866  0.0446  0.06
Niedzielski 1931   13  0.691  0.091  0.088  0.511  0.611  0.56
Ohlsson 1999   26  0.6121  0.0122  0.0922  0.3530  0.2019  0.26
Osinska 1989   1  0.745  0.067  0.085  0.5315  0.384  0.45
Pachmann 1927   79  0.3054  0.0084  0.0282  0.0282  0.0385  0.02
Paderewski 1930   30  0.5932  0.0032  0.0641  0.1160  0.0344  0.06
Perlemuter 1992   61  0.4737  0.0073  0.0374  0.0382  0.0365  0.03
Pierdomenico 2008   52  0.5228  0.0135  0.0530  0.2131  0.2026  0.20
Poblocka 1999   18  0.6427  0.0126  0.0826  0.2960  0.0434  0.11
Rabcewiczowa 1932   47  0.5349  0.0059  0.0547  0.0563  0.0452  0.04
Rachmaninoff 1923   49  0.5212  0.0418  0.0825  0.3031  0.1923  0.24
Rangell 2001   50  0.5253  0.0066  0.0452  0.0461  0.0463  0.04
Richter 1976   55  0.5088  0.0072  0.0372  0.0353  0.0469  0.03
Rosen 1989   31  0.5876  0.0049  0.0451  0.0465  0.0373  0.03
Rosenthal 1930   40  0.5661  0.0058  0.0461  0.0446  0.0649  0.05
Rosenthal 1931   72  0.3868  0.0080  0.0371  0.0381  0.0286  0.02
Rosenthal 1931b   76  0.3539  0.0079  0.0379  0.0381  0.0289  0.02
Rosenthal 1931c   51  0.5234  0.0070  0.0450  0.0469  0.0381  0.03
Rosenthal 1931d   63  0.4642  0.0076  0.0377  0.0371  0.0378  0.03
Rossi 2007   85  0.1389  0.0081  0.0283  0.0262  0.0383  0.02
Rubinstein 1939   75  0.3525  0.0178  0.0281  0.0234  0.2341  0.07
Rubinstein 1952   27  0.6120  0.0144  0.0443  0.0830  0.2332  0.14
Rubinstein 1966   29  0.5962  0.0067  0.0463  0.0467  0.0457  0.04
Schilhawsky 1960   35  0.5777  0.0046  0.0459  0.0464  0.0458  0.04
Shebanova 2002   12  0.694  0.064  0.094  0.5411  0.492  0.51
Smith 1975   43  0.5584  0.0050  0.0546  0.0585  0.0267  0.03
Sokolov 2002   46  0.5467  0.0029  0.0640  0.1260  0.0440  0.07
Sztompka 1959   41  0.568  0.0530  0.0639  0.1253  0.0638  0.08
Tomsic 1995   34  0.5748  0.0051  0.0367  0.0386  0.0368  0.03
Uninsky 1932   60  0.4846  0.0045  0.0445  0.0860  0.0445  0.06
Uninsky 1971   56  0.5090  0.0068  0.0375  0.0372  0.0370  0.03
Wasowski 1980   20  0.6459  0.0041  0.0737  0.1314  0.3225  0.20
Zak 1937   15  0.663  0.075  0.117  0.5121  0.318  0.40
Zak 1951   19  0.6416  0.026  0.106  0.5128  0.2810  0.38
Average   4  0.7458  0.0015  0.1010  0.4770  0.0333  0.12
Random 1   91  -0.2291  0.0091  0.0191  0.0188  0.0291  0.01
Random 2   87  0.0550  0.0085  0.0286  0.028  0.3936  0.09
Random 3   86  0.0580  0.0088  0.0284  0.0234  0.1550  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).