Francois 1956

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   36  0.2574  0.0035  0.0933  0.3863  0.0439  0.12
Anderszewski 2003   51  0.2163  0.0039  0.0743  0.2039  0.1631  0.18
Ashkenazy 1981   75  0.1464  0.0079  0.0374  0.0383  0.0377  0.03
Bacha 2000   65  0.1784  0.0046  0.0652  0.0648  0.0648  0.06
Badura 1965   83  0.1033  0.0083  0.0285  0.0287  0.0289  0.02
Barbosa 1983   42  0.2334  0.0044  0.0744  0.1665  0.0545  0.09
Biret 1990   9  0.432  0.154  0.2812  0.703  0.796  0.74
Blet 2003   34  0.2647  0.0038  0.0739  0.3058  0.0637  0.13
Block 1995   33  0.2669  0.0043  0.1040  0.2565  0.0542  0.11
Blumental 1952   86  0.0762  0.0073  0.0373  0.0360  0.0565  0.04
Boshniakovich 1969   67  0.1619  0.0057  0.0461  0.0484  0.0376  0.03
Brailowsky 1960   46  0.2260  0.0056  0.0650  0.0655  0.0649  0.06
Bunin 1987   49  0.2110  0.0153  0.0655  0.0663  0.0558  0.05
Bunin 1987b   48  0.2155  0.0054  0.0656  0.0661  0.0556  0.05
Chiu 1999   44  0.2257  0.0062  0.0463  0.0478  0.0461  0.04
Cohen 1997   1  0.523  0.122  0.231  0.843  0.753  0.79
Cortot 1951   19  0.347  0.0224  0.1520  0.5818  0.5413  0.56
Csalog 1996   70  0.1675  0.0082  0.0284  0.0277  0.0469  0.03
Czerny 1949   3  0.491  0.391  0.393  0.812  0.871  0.84
Czerny 1990   81  0.1176  0.0080  0.0377  0.0384  0.0291  0.02
Duchoud 2007   39  0.2544  0.0045  0.0645  0.1266  0.0546  0.08
Ezaki 2006   11  0.4136  0.0013  0.1610  0.7220  0.6210  0.67
Falvay 1989   26  0.3224  0.0022  0.1619  0.5912  0.4518  0.52
Farrell 1958   32  0.2711  0.0134  0.1128  0.4634  0.3026  0.37
Ferenczy 1958   29  0.3141  0.0025  0.1524  0.5220  0.7112  0.61
Fliere 1977   54  0.2085  0.0068  0.0465  0.0473  0.0459  0.04
Fou 1978   53  0.2037  0.0047  0.0654  0.0684  0.0363  0.04
Francois 1956   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Friedman 1923   76  0.1177  0.0085  0.0286  0.0272  0.0480  0.03
Friedman 1923b   77  0.1186  0.0086  0.0283  0.0269  0.0478  0.03
Friedman 1930   63  0.1745  0.0065  0.0367  0.0380  0.0372  0.03
Garcia 2007   85  0.0978  0.0070  0.0371  0.0380  0.0375  0.03
Garcia 2007b   79  0.1179  0.0078  0.0368  0.0376  0.0379  0.03
Gierzod 1998   88  0.0370  0.0061  0.0466  0.0478  0.0274  0.03
Gornostaeva 1994   4  0.485  0.065  0.264  0.788  0.774  0.77
Groot 1988   30  0.3138  0.0029  0.1231  0.4156  0.0633  0.16
Harasiewicz 1955   8  0.4428  0.0010  0.1415  0.6718  0.4614  0.56
Hatto 1993   47  0.2272  0.0050  0.0748  0.0767  0.0653  0.06
Hatto 1997   16  0.3517  0.0016  0.1614  0.6721  0.3720  0.50
Horowitz 1949   66  0.1639  0.0063  0.0370  0.0373  0.0468  0.03
Indjic 1988   55  0.1958  0.0051  0.0649  0.0671  0.0557  0.05
Kapell 1951   50  0.2123  0.0048  0.0653  0.0671  0.0555  0.05
Kissin 1993   90  0.0073  0.0090  0.0287  0.0284  0.0387  0.02
Kushner 1989   73  0.1548  0.0076  0.0278  0.0286  0.0282  0.02
Luisada 1991   41  0.2431  0.0052  0.0651  0.0674  0.0454  0.05
Lushtak 2004   61  0.1852  0.0058  0.0459  0.0468  0.0564  0.04
Malcuzynski 1961   69  0.1680  0.0066  0.0369  0.0382  0.0366  0.03
Magaloff 1978   31  0.3059  0.0041  0.0641  0.2267  0.0443  0.09
Magin 1975   58  0.1946  0.0060  0.0462  0.0448  0.0950  0.06
Michalowski 1933   43  0.2322  0.0055  0.0747  0.0770  0.0552  0.06
Milkina 1970   15  0.3912  0.0112  0.198  0.7310  0.658  0.69
Mohovich 1999   22  0.3325  0.0021  0.1221  0.5629  0.3123  0.42
Moravec 1969   21  0.3315  0.0120  0.1423  0.5431  0.2625  0.37
Morozova 2008   57  0.1930  0.0064  0.0464  0.0486  0.0371  0.03
Neighaus 1950   10  0.4229  0.0011  0.169  0.7327  0.3321  0.49
Niedzielski 1931   78  0.1126  0.0084  0.0288  0.0283  0.0381  0.02
Ohlsson 1999   17  0.3535  0.0030  0.1035  0.3565  0.0438  0.12
Osinska 1989   6  0.4518  0.009  0.167  0.7313  0.677  0.70
Pachmann 1927   71  0.1556  0.0087  0.0282  0.0285  0.0385  0.02
Paderewski 1930   59  0.1887  0.0049  0.0746  0.0762  0.0651  0.06
Perlemuter 1992   27  0.3265  0.0036  0.0837  0.3164  0.0440  0.11
Pierdomenico 2008   56  0.1981  0.0059  0.0557  0.0566  0.0462  0.04
Poblocka 1999   40  0.2450  0.0033  0.0932  0.4049  0.0634  0.15
Rabcewiczowa 1932   7  0.446  0.036  0.196  0.759  0.755  0.75
Rachmaninoff 1923   37  0.2566  0.0042  0.0742  0.2068  0.0444  0.09
Rangell 2001   45  0.2240  0.0031  0.0830  0.4162  0.0536  0.14
Richter 1976   80  0.1153  0.0081  0.0281  0.0285  0.0384  0.02
Rosen 1989   24  0.3282  0.0026  0.1225  0.5247  0.0532  0.16
Rosenthal 1930   35  0.2643  0.0040  0.0638  0.3039  0.2728  0.28
Rosenthal 1931   64  0.1767  0.0032  0.1134  0.3633  0.4624  0.41
Rosenthal 1931b   52  0.2014  0.0127  0.1329  0.4225  0.5022  0.46
Rosenthal 1931c   23  0.3213  0.0118  0.1622  0.5517  0.5416  0.54
Rosenthal 1931d   38  0.2549  0.0023  0.1426  0.5115  0.5419  0.52
Rossi 2007   72  0.1551  0.0072  0.0372  0.0351  0.0560  0.04
Rubinstein 1939   25  0.3261  0.0028  0.1127  0.4842  0.1229  0.24
Rubinstein 1952   12  0.419  0.028  0.165  0.758  0.639  0.69
Rubinstein 1966   20  0.3354  0.0019  0.1118  0.6135  0.1627  0.31
Schilhawsky 1960   62  0.1832  0.0074  0.0376  0.0377  0.0470  0.03
Shebanova 2002   84  0.0921  0.0088  0.0289  0.0287  0.0388  0.02
Smith 1975   2  0.504  0.083  0.262  0.815  0.802  0.80
Sokolov 2002   14  0.4027  0.0014  0.1513  0.6910  0.5611  0.62
Sztompka 1959   68  0.1683  0.0075  0.0280  0.0280  0.0386  0.02
Tomsic 1995   18  0.3416  0.0015  0.1717  0.6512  0.4715  0.55
Uninsky 1932   60  0.1888  0.0067  0.0460  0.0485  0.0273  0.03
Uninsky 1971   13  0.4020  0.0017  0.1716  0.6617  0.4217  0.53
Wasowski 1980   28  0.3189  0.0037  0.0836  0.3358  0.0635  0.14
Zak 1937   82  0.1090  0.0077  0.0279  0.0279  0.0383  0.02
Zak 1951   74  0.1471  0.0069  0.0458  0.0474  0.0367  0.03
Average   5  0.468  0.027  0.1611  0.7158  0.0530  0.19
Random 1   91  -0.0368  0.0091  0.0191  0.0174  0.0390  0.02
Random 2   87  0.0491  0.0071  0.0375  0.0317  0.4241  0.11
Random 3   89  0.0142  0.0089  0.0190  0.0114  0.4447  0.07

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).