Moravec 1969

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.5917  0.0122  0.0721  0.3234  0.1624  0.23
Anderszewski 2003   68  0.3728  0.0048  0.0548  0.0544  0.1048  0.07
Ashkenazy 1981   17  0.552  0.172  0.183  0.6221  0.368  0.47
Bacha 2000   59  0.4169  0.0067  0.0472  0.0452  0.0560  0.04
Badura 1965   56  0.4431  0.0039  0.0437  0.1240  0.1532  0.13
Barbosa 1983   66  0.3881  0.0075  0.0376  0.0374  0.0477  0.03
Biret 1990   40  0.4786  0.0047  0.0550  0.0538  0.1640  0.09
Blet 2003   41  0.4782  0.0066  0.0557  0.0575  0.0466  0.04
Block 1995   43  0.4651  0.0061  0.0460  0.0449  0.0468  0.04
Blumental 1952   51  0.458  0.055  0.127  0.501  0.603  0.55
Boshniakovich 1969   73  0.3583  0.0079  0.0552  0.0584  0.0281  0.03
Brailowsky 1960   45  0.4660  0.0057  0.0467  0.0436  0.1541  0.08
Bunin 1987   71  0.3730  0.0081  0.0374  0.0382  0.0383  0.03
Bunin 1987b   69  0.3732  0.0080  0.0379  0.0384  0.0375  0.03
Chiu 1999   65  0.3849  0.0040  0.0439  0.1237  0.2029  0.15
Cohen 1997   79  0.2850  0.0076  0.0378  0.0367  0.0482  0.03
Cortot 1951   28  0.5119  0.0125  0.0819  0.349  0.4912  0.41
Csalog 1996   27  0.5146  0.0032  0.0630  0.1924  0.3722  0.27
Czerny 1949   5  0.621  0.171  0.172  0.655  0.731  0.69
Czerny 1990   1  0.667  0.053  0.161  0.6610  0.512  0.58
Duchoud 2007   29  0.5059  0.0046  0.0556  0.0545  0.0855  0.06
Ezaki 2006   37  0.4774  0.0051  0.0555  0.0550  0.0556  0.05
Falvay 1989   8  0.6016  0.0119  0.0814  0.4022  0.2817  0.33
Farrell 1958   44  0.4666  0.0064  0.0375  0.0350  0.0474  0.03
Ferenczy 1958   54  0.4434  0.0029  0.0734  0.1437  0.1431  0.14
Fliere 1977   31  0.5058  0.0050  0.0549  0.0548  0.0657  0.05
Fou 1978   58  0.4239  0.0056  0.0462  0.0463  0.0463  0.04
Francois 1956   2  0.6527  0.0113  0.119  0.4720  0.3710  0.42
Friedman 1923   85  0.0963  0.0085  0.0283  0.0274  0.0486  0.03
Friedman 1923b   84  0.1070  0.0084  0.0287  0.0278  0.0390  0.02
Friedman 1930   82  0.2472  0.0055  0.0553  0.0541  0.1244  0.08
Garcia 2007   83  0.1784  0.0083  0.0284  0.0258  0.0479  0.03
Garcia 2007b   88  0.0387  0.0086  0.0286  0.0260  0.0485  0.03
Gierzod 1998   16  0.5621  0.0116  0.1011  0.4317  0.3414  0.38
Gornostaeva 1994   33  0.4929  0.0035  0.0438  0.1259  0.0450  0.07
Groot 1988   15  0.5755  0.0030  0.0728  0.2068  0.0345  0.08
Harasiewicz 1955   61  0.4120  0.0127  0.0826  0.2562  0.0438  0.10
Hatto 1993   78  0.3064  0.0034  0.0535  0.1342  0.1133  0.12
Hatto 1997   74  0.3445  0.0044  0.0444  0.0849  0.0554  0.06
Horowitz 1949   9  0.596  0.069  0.086  0.517  0.507  0.50
Indjic 1988   77  0.3262  0.0045  0.0745  0.0748  0.0553  0.06
Kapell 1951   4  0.6322  0.0115  0.1017  0.3828  0.3715  0.37
Kissin 1993   14  0.5711  0.0214  0.118  0.4819  0.379  0.42
Kushner 1989   6  0.6123  0.0112  0.1012  0.4315  0.4011  0.41
Luisada 1991   42  0.4648  0.0018  0.1027  0.2337  0.1626  0.19
Lushtak 2004   72  0.3557  0.0069  0.0468  0.0478  0.0380  0.03
Malcuzynski 1961   7  0.6140  0.0021  0.1018  0.3744  0.1027  0.19
Magaloff 1978   35  0.4877  0.0060  0.0466  0.0478  0.0373  0.03
Magin 1975   70  0.3788  0.0049  0.0646  0.0647  0.0652  0.06
Michalowski 1933   80  0.2741  0.0053  0.0554  0.0544  0.1147  0.07
Milkina 1970   3  0.6310  0.026  0.095  0.536  0.476  0.50
Mohovich 1999   48  0.4578  0.0072  0.0464  0.0466  0.0469  0.04
Moravec 1969   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Morozova 2008   53  0.4415  0.0110  0.0825  0.2918  0.3120  0.30
Neighaus 1950   39  0.4738  0.0041  0.0540  0.1171  0.0451  0.07
Niedzielski 1931   13  0.585  0.068  0.0810  0.441  0.644  0.53
Ohlsson 1999   18  0.5414  0.0117  0.0815  0.3826  0.2419  0.30
Osinska 1989   11  0.5873  0.0020  0.0813  0.4220  0.3016  0.35
Pachmann 1927   81  0.2489  0.0082  0.0382  0.0382  0.0288  0.02
Paderewski 1930   30  0.5024  0.0128  0.0729  0.2050  0.0537  0.10
Perlemuter 1992   64  0.3954  0.0073  0.0551  0.0567  0.0461  0.04
Pierdomenico 2008   63  0.3926  0.0143  0.0543  0.0920  0.2630  0.15
Poblocka 1999   21  0.5325  0.0126  0.0824  0.3066  0.0434  0.11
Rabcewiczowa 1932   60  0.4168  0.0068  0.0373  0.0353  0.0562  0.04
Rachmaninoff 1923   32  0.509  0.0511  0.1016  0.3817  0.3913  0.38
Rangell 2001   49  0.4552  0.0062  0.0380  0.0366  0.0384  0.03
Richter 1976   52  0.4585  0.0070  0.0470  0.0459  0.0464  0.04
Rosen 1989   47  0.4671  0.0054  0.0647  0.0663  0.0458  0.05
Rosenthal 1930   34  0.4935  0.0052  0.0461  0.0435  0.2836  0.11
Rosenthal 1931   75  0.3367  0.0078  0.0458  0.0454  0.0465  0.04
Rosenthal 1931b   76  0.3279  0.0077  0.0381  0.0352  0.0571  0.04
Rosenthal 1931c   46  0.4643  0.0065  0.0469  0.0450  0.0572  0.04
Rosenthal 1931d   62  0.4042  0.0074  0.0459  0.0452  0.0470  0.04
Rossi 2007   86  0.0890  0.0088  0.0289  0.0270  0.0387  0.02
Rubinstein 1939   67  0.3718  0.0158  0.0463  0.0426  0.3335  0.11
Rubinstein 1952   20  0.5312  0.0233  0.0632  0.1733  0.1828  0.17
Rubinstein 1966   26  0.5137  0.0059  0.0465  0.0465  0.0567  0.04
Schilhawsky 1960   55  0.4465  0.0063  0.0377  0.0362  0.0478  0.03
Shebanova 2002   12  0.584  0.064  0.124  0.5510  0.505  0.52
Smith 1975   38  0.4761  0.0042  0.0542  0.1162  0.0446  0.07
Sokolov 2002   36  0.4747  0.0036  0.0736  0.1357  0.0542  0.08
Sztompka 1959   24  0.523  0.077  0.0922  0.3140  0.1625  0.22
Tomsic 1995   25  0.5136  0.0038  0.0533  0.1559  0.0443  0.08
Uninsky 1932   50  0.4533  0.0037  0.0441  0.1159  0.0549  0.07
Uninsky 1971   57  0.4480  0.0071  0.0471  0.0473  0.0376  0.03
Wasowski 1980   19  0.5444  0.0031  0.0631  0.1818  0.3423  0.25
Zak 1937   22  0.5356  0.0023  0.0720  0.3330  0.2918  0.31
Zak 1951   23  0.5213  0.0224  0.1023  0.3131  0.2621  0.28
Random 1   90  -0.1075  0.0090  0.0190  0.0169  0.0389  0.02
Random 2   87  0.0553  0.0087  0.0285  0.028  0.3939  0.09
Random 3   89  0.0276  0.0089  0.0288  0.0239  0.1459  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).