Friedman 1923b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   58  0.2630  0.0061  0.0661  0.0652  0.0565  0.05
Anderszewski 2003   76  0.1231  0.0076  0.0378  0.0368  0.0475  0.03
Ashkenazy 1981   12  0.509  0.0014  0.1112  0.7424  0.6015  0.67
Bacha 2000   79  0.1132  0.0075  0.0381  0.0379  0.0370  0.03
Badura 1965   46  0.3433  0.0050  0.1049  0.1018  0.4945  0.22
Barbosa 1983   56  0.2734  0.0059  0.0665  0.0666  0.0564  0.05
Biret 1990   68  0.1735  0.0066  0.0662  0.0643  0.1652  0.10
Blet 2003   16  0.4936  0.0021  0.1620  0.618  0.6620  0.63
Block 1995   20  0.4710  0.0027  0.0924  0.5422  0.4930  0.51
Blumental 1952   65  0.2037  0.0063  0.0664  0.0650  0.0659  0.06
Boshniakovich 1969   26  0.4438  0.0025  0.0819  0.6224  0.4927  0.55
Brailowsky 1960   55  0.277  0.0053  0.0855  0.0839  0.2449  0.14
Bunin 1987   38  0.4039  0.0034  0.0832  0.5010  0.5928  0.54
Bunin 1987b   37  0.4016  0.0028  0.0728  0.5210  0.6023  0.56
Chiu 1999   11  0.5340  0.009  0.237  0.786  0.737  0.75
Cohen 1997   70  0.1641  0.0080  0.0474  0.0490  0.0188  0.02
Cortot 1951   62  0.2342  0.0064  0.0857  0.0860  0.0560  0.06
Csalog 1996   24  0.4543  0.0038  0.0926  0.538  0.6422  0.58
Czerny 1949   88  -0.0744  0.0089  0.0288  0.0289  0.0190  0.01
Czerny 1990   48  0.3417  0.0042  0.1141  0.3331  0.4640  0.39
Duchoud 2007   41  0.3811  0.0036  0.0831  0.5020  0.4832  0.49
Ezaki 2006   71  0.1418  0.0079  0.0473  0.0473  0.0369  0.03
Falvay 1989   82  0.1019  0.0070  0.0567  0.0588  0.0271  0.03
Farrell 1958   49  0.3345  0.0035  0.0940  0.3515  0.5136  0.42
Ferenczy 1958   91  -0.1346  0.0091  0.0191  0.0190  0.0289  0.01
Fliere 1977   3  0.683  0.003  0.333  0.874  0.843  0.85
Fou 1978   47  0.3447  0.0043  0.1044  0.2341  0.1946  0.21
Francois 1956   78  0.1148  0.0082  0.0469  0.0483  0.0282  0.03
Friedman 1923   1  0.991  1.001  0.991  1.001  1.001  1.00
Friedman 1923b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Friedman 1930   2  0.7312  0.002  0.722  0.912  0.932  0.92
Garcia 2007   32  0.4213  0.0023  0.0823  0.5715  0.5426  0.55
Garcia 2007b   52  0.318  0.0049  0.1147  0.1130  0.3647  0.20
Gierzod 1998   75  0.1349  0.0078  0.0472  0.0469  0.0467  0.04
Gornostaeva 1994   73  0.1450  0.0069  0.0379  0.0378  0.0378  0.03
Groot 1988   30  0.4351  0.0037  0.0934  0.4931  0.2641  0.36
Harasiewicz 1955   34  0.4152  0.0047  0.0950  0.0970  0.0461  0.06
Hatto 1993   50  0.3253  0.0051  0.1246  0.1266  0.0655  0.08
Hatto 1997   74  0.1354  0.0072  0.0384  0.0388  0.0286  0.02
Horowitz 1949   14  0.4955  0.0013  0.1413  0.734  0.788  0.75
Indjic 1988   53  0.3020  0.0052  0.1148  0.1164  0.0654  0.08
Kapell 1951   42  0.3856  0.0033  0.0839  0.4132  0.2742  0.33
Kissin 1993   31  0.4321  0.0031  0.0829  0.5121  0.6025  0.55
Kushner 1989   43  0.3657  0.0048  0.0953  0.0946  0.1053  0.09
Luisada 1991   25  0.4458  0.0041  0.1835  0.4532  0.3438  0.39
Lushtak 2004   57  0.2759  0.0056  0.0758  0.0752  0.0658  0.06
Malcuzynski 1961   39  0.3922  0.0046  0.0854  0.0842  0.1351  0.10
Magaloff 1978   9  0.534  0.0010  0.178  0.7811  0.719  0.74
Magin 1975   44  0.3560  0.0030  0.0742  0.3128  0.4839  0.39
Michalowski 1933   19  0.485  0.0017  0.1130  0.5115  0.5129  0.51
Milkina 1970   86  0.0061  0.0085  0.0386  0.0384  0.0285  0.02
Mohovich 1999   63  0.2062  0.0068  0.0471  0.0481  0.0377  0.03
Moravec 1969   54  0.2823  0.0057  0.0660  0.0654  0.0462  0.05
Morozova 2008   33  0.4124  0.0022  0.1233  0.5020  0.4234  0.46
Neighaus 1950   27  0.4425  0.0026  0.0827  0.5328  0.3337  0.42
Niedzielski 1931   23  0.4663  0.0018  0.1322  0.5817  0.5324  0.55
Ohlsson 1999   13  0.5064  0.0015  0.1118  0.669  0.6219  0.64
Osinska 1989   51  0.3165  0.0054  0.0952  0.0944  0.1150  0.10
Pachmann 1927   5  0.6126  0.005  0.295  0.803  0.854  0.82
Paderewski 1930   29  0.432  0.0039  0.1037  0.4423  0.5431  0.49
Perlemuter 1992   21  0.4727  0.0024  0.0821  0.6011  0.6818  0.64
Pierdomenico 2008   35  0.416  0.0045  0.1145  0.2122  0.4243  0.30
Poblocka 1999   36  0.4014  0.0040  0.1436  0.4516  0.4535  0.45
Rabcewiczowa 1932   85  0.0266  0.0087  0.0383  0.0390  0.0184  0.02
Rachmaninoff 1923   18  0.4867  0.0012  0.1517  0.6710  0.7013  0.68
Rangell 2001   45  0.3568  0.0044  0.1043  0.2422  0.3544  0.29
Richter 1976   7  0.5828  0.008  0.326  0.8012  0.795  0.79
Rosen 1989   15  0.4969  0.0016  0.1215  0.7010  0.6414  0.67
Rosenthal 1930   60  0.2570  0.0065  0.0759  0.0758  0.0557  0.06
Rosenthal 1931   84  0.0571  0.0081  0.0380  0.0377  0.0374  0.03
Rosenthal 1931b   80  0.1172  0.0077  0.0376  0.0366  0.0480  0.03
Rosenthal 1931c   69  0.1773  0.0058  0.0566  0.0568  0.0368  0.04
Rosenthal 1931d   81  0.1074  0.0067  0.0470  0.0473  0.0379  0.03
Rossi 2007   66  0.1875  0.0060  0.0663  0.0611  0.5148  0.17
Rubinstein 1939   83  0.0876  0.0084  0.0475  0.0488  0.0272  0.03
Rubinstein 1952   67  0.1877  0.0073  0.0377  0.0381  0.0381  0.03
Rubinstein 1966   64  0.2078  0.0071  0.0568  0.0588  0.0366  0.04
Schilhawsky 1960   40  0.3979  0.0029  0.0738  0.4215  0.5033  0.46
Shebanova 2002   6  0.5880  0.006  0.3110  0.7615  0.6812  0.72
Smith 1975   77  0.1181  0.0083  0.0387  0.0387  0.0283  0.02
Sokolov 2002   61  0.2482  0.0062  0.0856  0.0862  0.0363  0.05
Sztompka 1959   17  0.4883  0.0020  0.1516  0.7011  0.6116  0.65
Tomsic 1995   72  0.1484  0.0074  0.0382  0.0378  0.0373  0.03
Uninsky 1932   8  0.5585  0.007  0.279  0.783  0.746  0.76
Uninsky 1971   59  0.2515  0.0055  0.0951  0.0966  0.0456  0.06
Wasowski 1980   10  0.5386  0.0011  0.2411  0.748  0.7110  0.72
Zak 1937   22  0.4729  0.0019  0.1314  0.704  0.7511  0.72
Zak 1951   28  0.4387  0.0032  0.0825  0.545  0.7021  0.61
Average   4  0.6488  0.004  0.314  0.8716  0.4917  0.65
Random 1   87  -0.0389  0.0086  0.0385  0.0368  0.0376  0.03
Random 2   89  -0.0890  0.0088  0.0289  0.0275  0.0387  0.02
Random 3   90  -0.1091  0.0090  0.0190  0.0190  0.0191  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).