Moravec 1969

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   41  0.4766  0.0046  0.0646  0.0677  0.0360  0.04
Anderszewski 2003   38  0.4830  0.0042  0.0637  0.2080  0.0341  0.08
Ashkenazy 1981   68  0.3970  0.0075  0.0463  0.0474  0.0385  0.03
Bacha 2000   47  0.4535  0.0033  0.0636  0.2154  0.0532  0.10
Badura 1965   84  0.3044  0.0058  0.0465  0.0479  0.0382  0.03
Barbosa 1983   39  0.4743  0.0024  0.1028  0.3336  0.2019  0.26
Biret 1990   16  0.5541  0.0017  0.1218  0.4979  0.0329  0.12
Blet 2003   58  0.4282  0.0062  0.0370  0.0385  0.0288  0.02
Block 1995   74  0.3662  0.0076  0.0469  0.0481  0.0383  0.03
Blumental 1952   1  0.661  0.401  0.401  0.764  0.591  0.67
Boshniakovich 1969   70  0.3855  0.0067  0.0380  0.0387  0.0384  0.03
Brailowsky 1960   26  0.5129  0.0031  0.1030  0.2835  0.2817  0.28
Bunin 1987   86  0.2921  0.0085  0.0287  0.0260  0.0486  0.03
Bunin 1987b   87  0.2827  0.0086  0.0374  0.0362  0.0471  0.03
Chiu 1999   50  0.4545  0.0030  0.0641  0.1752  0.0536  0.09
Cohen 1997   71  0.3824  0.0056  0.0556  0.0546  0.0651  0.05
Cortot 1951   59  0.4283  0.0069  0.0373  0.0345  0.0952  0.05
Csalog 1996   23  0.5122  0.0023  0.1024  0.3832  0.2216  0.29
Czerny 1949   28  0.5111  0.0225  0.0920  0.4566  0.0426  0.13
Czerny 1990   2  0.659  0.022  0.213  0.7417  0.488  0.60
Duchoud 2007   85  0.2980  0.0087  0.0381  0.0383  0.0380  0.03
Ezaki 2006   8  0.596  0.0311  0.195  0.6725  0.3810  0.50
Falvay 1989   4  0.623  0.0613  0.2213  0.5712  0.519  0.54
Farrell 1958   40  0.4752  0.0029  0.0731  0.2859  0.0625  0.13
Ferenczy 1958   44  0.4638  0.0043  0.0642  0.1450  0.0542  0.08
Fliere 1977   33  0.4946  0.0039  0.0638  0.1973  0.0435  0.09
Fou 1978   31  0.5018  0.0137  0.0639  0.1974  0.0437  0.09
Francois 1956   63  0.4071  0.0061  0.0466  0.0465  0.0465  0.04
Friedman 1923   79  0.3567  0.0079  0.0557  0.0578  0.0467  0.04
Friedman 1923b   80  0.3540  0.0078  0.0560  0.0573  0.0462  0.04
Friedman 1930   69  0.3872  0.0077  0.0467  0.0462  0.0557  0.04
Garcia 2007   46  0.4576  0.0059  0.0371  0.0380  0.0481  0.03
Garcia 2007b   43  0.4760  0.0051  0.0558  0.0565  0.0466  0.04
Gierzod 1998   24  0.5158  0.0034  0.0727  0.3384  0.0333  0.10
Gornostaeva 1994   32  0.5028  0.0035  0.0634  0.2282  0.0344  0.08
Groot 1988   62  0.4063  0.0057  0.0555  0.0585  0.0364  0.04
Harasiewicz 1955   35  0.4939  0.0040  0.0732  0.2586  0.0339  0.09
Hatto 1993   72  0.3842  0.0072  0.0376  0.0386  0.0387  0.03
Hatto 1997   66  0.3987  0.0073  0.0461  0.0476  0.0458  0.04
Horowitz 1949   77  0.3688  0.0080  0.0385  0.0379  0.0473  0.03
Indjic 1988   67  0.3977  0.0074  0.0464  0.0477  0.0379  0.03
Kapell 1951   11  0.5715  0.0116  0.0916  0.5445  0.1120  0.24
Kissin 1993   21  0.5251  0.0026  0.0926  0.3766  0.0428  0.12
Kushner 1989   30  0.5061  0.0044  0.0644  0.1378  0.0347  0.06
Luisada 1991   51  0.4553  0.0054  0.0554  0.0585  0.0353  0.04
Lushtak 2004   54  0.4473  0.0055  0.0550  0.0575  0.0361  0.04
Malcuzynski 1961   20  0.534  0.0514  0.1311  0.6019  0.4012  0.49
Magaloff 1978   14  0.5614  0.0115  0.1217  0.5028  0.2814  0.37
Magin 1975   42  0.4717  0.0132  0.0640  0.1888  0.0246  0.06
Michalowski 1933   78  0.3549  0.0065  0.0383  0.0378  0.0378  0.03
Milkina 1970   13  0.5632  0.0018  0.1210  0.6060  0.0522  0.17
Mohovich 1999   34  0.4947  0.0028  0.0629  0.3260  0.0527  0.13
Moravec 1969   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Morozova 2008   73  0.3884  0.0064  0.0382  0.0388  0.0289  0.02
Neighaus 1950   82  0.3285  0.0083  0.0288  0.0286  0.0390  0.02
Niedzielski 1931   12  0.5612  0.027  0.154  0.695  0.537  0.60
Ohlsson 1999   83  0.3168  0.0084  0.0384  0.0375  0.0477  0.03
Osinska 1989   18  0.5436  0.0027  0.0723  0.3883  0.0331  0.11
Pachmann 1927   76  0.3626  0.0082  0.0379  0.0357  0.0476  0.03
Paderewski 1930   75  0.3689  0.0066  0.0378  0.0350  0.0475  0.03
Perlemuter 1992   52  0.4490  0.0060  0.0462  0.0472  0.0368  0.03
Pierdomenico 2008   81  0.3278  0.0081  0.0286  0.0273  0.0470  0.03
Poblocka 1999   36  0.4959  0.0045  0.0745  0.1378  0.0345  0.06
Rabcewiczowa 1932   5  0.6120  0.016  0.1214  0.5712  0.4411  0.50
Rachmaninoff 1923   17  0.5433  0.0012  0.2115  0.5740  0.1715  0.31
Rangell 2001   65  0.4031  0.0068  0.0372  0.0349  0.0663  0.04
Richter 1976   88  0.2764  0.0088  0.0468  0.0488  0.0274  0.03
Rosen 1989   37  0.4850  0.0036  0.0635  0.2163  0.0534  0.10
Rosenthal 1930   9  0.588  0.029  0.168  0.607  0.674  0.63
Rosenthal 1931   7  0.592  0.144  0.247  0.637  0.643  0.63
Rosenthal 1931b   10  0.5813  0.015  0.209  0.609  0.656  0.62
Rosenthal 1931c   6  0.6116  0.013  0.206  0.647  0.662  0.65
Rosenthal 1931d   15  0.5669  0.008  0.1412  0.598  0.655  0.62
Rossi 2007   22  0.5156  0.0019  0.1322  0.4014  0.4413  0.42
Rubinstein 1939   53  0.4491  0.0049  0.0649  0.0674  0.0354  0.04
Rubinstein 1952   27  0.5125  0.0021  0.1125  0.3844  0.1321  0.22
Rubinstein 1966   49  0.4579  0.0048  0.0551  0.0573  0.0550  0.05
Schilhawsky 1960   57  0.4237  0.0050  0.0648  0.0679  0.0356  0.04
Shebanova 2002   55  0.4448  0.0052  0.0559  0.0582  0.0359  0.04
Smith 1975   25  0.5134  0.0022  0.1021  0.4360  0.0424  0.13
Sokolov 2002   64  0.4019  0.0153  0.0552  0.0587  0.0269  0.03
Sztompka 1959   45  0.4574  0.0047  0.0647  0.0676  0.0449  0.05
Tomsic 1995   61  0.4154  0.0063  0.0377  0.0347  0.0848  0.05
Uninsky 1932   19  0.535  0.0420  0.1119  0.4645  0.1618  0.27
Uninsky 1971   48  0.4510  0.0241  0.0643  0.1359  0.0540  0.08
Wasowski 1980   29  0.5057  0.0038  0.0733  0.2466  0.0530  0.11
Zak 1937   56  0.4281  0.0071  0.0553  0.0573  0.0455  0.04
Zak 1951   60  0.4175  0.0070  0.0375  0.0374  0.0472  0.03
Average   3  0.647  0.0210  0.182  0.7677  0.0323  0.15
Random 1   90  -0.0865  0.0089  0.0289  0.0211  0.4538  0.09
Random 2   89  -0.0423  0.0090  0.0290  0.0217  0.3443  0.08
Random 3   91  -0.1486  0.0091  0.0191  0.0186  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).