Moravec 1969

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   34  0.5267  0.0045  0.0746  0.0782  0.0346  0.05
Anderszewski 2003   55  0.4345  0.0064  0.0558  0.0577  0.0356  0.04
Ashkenazy 1981   68  0.3936  0.0065  0.0463  0.0487  0.0280  0.03
Bacha 2000   26  0.5539  0.0019  0.1413  0.4957  0.0421  0.14
Badura 1965   83  0.308  0.0376  0.0377  0.0378  0.0379  0.03
Barbosa 1983   60  0.4268  0.0031  0.0835  0.1965  0.0434  0.09
Biret 1990   13  0.6031  0.0015  0.1118  0.4654  0.0520  0.15
Blet 2003   43  0.4946  0.0051  0.0553  0.0571  0.0457  0.04
Block 1995   80  0.3187  0.0078  0.0284  0.0282  0.0387  0.02
Blumental 1952   2  0.711  0.201  0.203  0.632  0.427  0.51
Boshniakovich 1969   81  0.3173  0.0080  0.0282  0.0283  0.0388  0.02
Brailowsky 1960   31  0.5330  0.0029  0.0726  0.3457  0.0426  0.12
Bunin 1987   85  0.2026  0.0085  0.0286  0.0277  0.0389  0.02
Bunin 1987b   86  0.1822  0.0186  0.0379  0.0377  0.0370  0.03
Chiu 1999   45  0.4849  0.0030  0.0730  0.2573  0.0333  0.09
Cohen 1997   67  0.4038  0.0042  0.0642  0.1314  0.3517  0.21
Cortot 1951   20  0.5859  0.0028  0.0729  0.2843  0.0919  0.16
Csalog 1996   15  0.6015  0.0116  0.1314  0.4811  0.3911  0.43
Czerny 1949   42  0.4920  0.0150  0.0557  0.0574  0.0460  0.04
Czerny 1990   1  0.714  0.082  0.182  0.6619  0.3110  0.45
Duchoud 2007   74  0.3458  0.0074  0.0475  0.0476  0.0378  0.03
Ezaki 2006   16  0.6012  0.0211  0.1510  0.5341  0.1215  0.25
Falvay 1989   9  0.6414  0.0112  0.1016  0.4711  0.529  0.49
Farrell 1958   29  0.5464  0.0021  0.1222  0.4062  0.0523  0.14
Ferenczy 1958   41  0.5056  0.0040  0.0544  0.1253  0.0537  0.08
Fliere 1977   49  0.4428  0.0061  0.0461  0.0480  0.0364  0.03
Fou 1978   33  0.5242  0.0043  0.0540  0.1486  0.0343  0.06
Francois 1956   22  0.5676  0.0023  0.1323  0.4066  0.0425  0.13
Friedman 1923   69  0.3965  0.0073  0.0647  0.0670  0.0450  0.05
Friedman 1923b   71  0.3852  0.0071  0.0464  0.0486  0.0381  0.03
Friedman 1930   58  0.4244  0.0072  0.0556  0.0559  0.0545  0.05
Garcia 2007   24  0.5532  0.0044  0.0837  0.1565  0.0438  0.08
Garcia 2007b   40  0.5023  0.0041  0.0543  0.1369  0.0442  0.07
Gierzod 1998   44  0.4860  0.0052  0.0745  0.0774  0.0347  0.05
Gornostaeva 1994   38  0.5151  0.0037  0.0538  0.1570  0.0341  0.07
Groot 1988   59  0.4241  0.0055  0.0550  0.0583  0.0362  0.04
Harasiewicz 1955   52  0.4447  0.0057  0.0476  0.0478  0.0384  0.03
Hatto 1993   82  0.3090  0.0082  0.0380  0.0385  0.0383  0.03
Hatto 1997   76  0.3283  0.0081  0.0283  0.0285  0.0386  0.02
Horowitz 1949   75  0.3363  0.0084  0.0472  0.0483  0.0371  0.03
Indjic 1988   77  0.3277  0.0083  0.0474  0.0485  0.0375  0.03
Kapell 1951   18  0.5813  0.0217  0.1020  0.4280  0.0328  0.11
Kissin 1993   30  0.5348  0.0038  0.0539  0.1486  0.0244  0.05
Kushner 1989   39  0.5161  0.0047  0.0462  0.0486  0.0268  0.03
Luisada 1991   51  0.4481  0.0046  0.0469  0.0478  0.0363  0.03
Lushtak 2004   53  0.4488  0.0053  0.0549  0.0579  0.0361  0.04
Malcuzynski 1961   36  0.5111  0.0324  0.0827  0.2938  0.1516  0.21
Magaloff 1978   17  0.5917  0.0120  0.1017  0.4643  0.1614  0.27
Magin 1975   48  0.4618  0.0149  0.0460  0.0480  0.0367  0.03
Michalowski 1933   61  0.4121  0.0167  0.0559  0.0571  0.0454  0.04
Milkina 1970   12  0.6253  0.0018  0.1015  0.4875  0.0327  0.12
Mohovich 1999   27  0.5454  0.0026  0.0724  0.4085  0.0329  0.11
Moravec 1969   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Morozova 2008   70  0.3878  0.0059  0.0378  0.0365  0.0476  0.03
Neighaus 1950   79  0.3266  0.0077  0.0287  0.0284  0.0390  0.02
Niedzielski 1931   7  0.665  0.079  0.261  0.6826  0.378  0.50
Ohlsson 1999   84  0.2879  0.0079  0.0381  0.0377  0.0374  0.03
Osinska 1989   19  0.5833  0.0027  0.0625  0.3486  0.0331  0.10
Pachmann 1927   63  0.4150  0.0075  0.0470  0.0483  0.0272  0.03
Paderewski 1930   37  0.5184  0.0035  0.0631  0.2469  0.0336  0.08
Perlemuter 1992   32  0.5272  0.0036  0.0536  0.1984  0.0335  0.08
Pierdomenico 2008   78  0.3262  0.0069  0.0554  0.0575  0.0451  0.04
Poblocka 1999   56  0.4369  0.0068  0.0467  0.0487  0.0265  0.03
Rabcewiczowa 1932   3  0.6924  0.008  0.2111  0.5015  0.3112  0.39
Rachmaninoff 1923   14  0.6016  0.0114  0.1112  0.4957  0.0422  0.14
Rangell 2001   73  0.3540  0.0066  0.0468  0.0473  0.0382  0.03
Richter 1976   87  0.1457  0.0087  0.0285  0.0284  0.0285  0.02
Rosen 1989   35  0.5270  0.0039  0.0533  0.2386  0.0240  0.07
Rosenthal 1930   11  0.639  0.0310  0.175  0.566  0.506  0.53
Rosenthal 1931   5  0.672  0.153  0.254  0.565  0.591  0.57
Rosenthal 1931b   6  0.677  0.044  0.187  0.556  0.593  0.57
Rosenthal 1931c   8  0.6610  0.037  0.299  0.546  0.545  0.54
Rosenthal 1931d   4  0.6727  0.006  0.178  0.555  0.592  0.57
Rossi 2007   10  0.643  0.085  0.166  0.565  0.554  0.55
Rubinstein 1939   47  0.4785  0.0034  0.0834  0.2056  0.0532  0.10
Rubinstein 1952   25  0.5555  0.0013  0.1021  0.4132  0.3413  0.37
Rubinstein 1966   57  0.4280  0.0033  0.0541  0.1378  0.0439  0.07
Schilhawsky 1960   64  0.4134  0.0056  0.0466  0.0462  0.0458  0.04
Shebanova 2002   50  0.4429  0.0054  0.0648  0.0684  0.0359  0.04
Smith 1975   23  0.5525  0.0022  0.1119  0.4453  0.0424  0.13
Sokolov 2002   72  0.3643  0.0062  0.0471  0.0462  0.0366  0.03
Sztompka 1959   46  0.4874  0.0048  0.0555  0.0587  0.0273  0.03
Tomsic 1995   66  0.4071  0.0063  0.0465  0.0472  0.0453  0.04
Uninsky 1932   21  0.566  0.0525  0.0828  0.2844  0.1318  0.19
Uninsky 1971   65  0.4135  0.0070  0.0551  0.0578  0.0455  0.04
Wasowski 1980   28  0.5437  0.0032  0.0532  0.2476  0.0430  0.10
Zak 1937   54  0.4389  0.0058  0.0473  0.0486  0.0269  0.03
Zak 1951   62  0.4186  0.0060  0.0552  0.0586  0.0352  0.04
Random 1   89  -0.1475  0.0088  0.0188  0.0127  0.2248  0.05
Random 2   90  -0.2119  0.0190  0.0190  0.0141  0.0877  0.03
Random 3   88  -0.1182  0.0089  0.0189  0.0133  0.2249  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).